BOSTON, MA CONFERENCE GUIDE - Text Analytics World · 2016. 1. 29. · government, publishing,...

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September 30-October 1, 2013 ● BOSTON, MA

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KEYNOTE SPEAKERS

CONFERENCE GUIDE

Tom ReamyConference ChairText Analytics WorldChief Knowledge ArchitectKAPS Group

PREMIER SPONSORS

James PennemakerRegents Centennial Professor & Chair Department of Psychology University of Texas at Austin

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An Invitation

Table of ContentsAgenda Overview ...................................3

Session Descriptions ..............................5

Conference Workshops ..................... 12

Keynote Bios ........................................... 17

Dear Innovators and Text Analytics Practitioners,Welcome to Text Analytics World Boston! This conference brings together profession-als and experts, academics and business leaders, consultants and users to create a cross-disciplinary, cross-fertilization environment that will deepen theory with real world perspectives and enrich the practical with new ideas and techniques.

Text Analytics World is the only full spectrum text analytics conference covering every-thing from practical business applications to the latest cutting-edge research, and de-livering sessions across verticals such as telecommunications, ecommerce, academia, government, publishing, engineering, high technology, and healthcare.

TAW’s agenda covers hot Topics such as:

• New techniques in text analytics such as using patterns of function words (pro-nouns, etc.) that reveal new insights into everything from personality to social media

• A look at the future of text analytics and what factors will drive new directions and applications – and a look at some of those new directions with a variety of case studies of new approaches to text analytics.

• The latest social media and voice of the customer approaches, including the analysis of conversations

• Real life use cases on how to combine structured data and unstructured text in everything from traffic safety to telecommunications to the latest at NASA

• Practical tips and best practices on everything from how to select the right text analytics tool to evaluating auto-categorization results

• Knowledge management applications including automatic expertise location

• New techniques in semantic search and search-based applications including the use of predictive analytics and artificial intelligence techniques

• Text analytics and taxonomies including automatic and semi-automatic methods and the latest in auto-categorization techniques and applications

• The benefits of text analytics and how to make the case to your organization

We are also offering two mini-workshops that will cover how to get started in text ana-lytics and how to advance to the next stage in text analytics applications. We will also have two expert panels made up of a variety of text analytics experts ranging from vendors to practioners who will discuss their latest offerings, techniques, applications, and theories – so if you have any questions about text analytics bring them and get fresh, multiple answers from the experts.

I look forward to seeing you at one of our premier keynotes, sessions, workshops, ex-position, live demos, networking coffee breaks, and reception.

Tom Reamy,Conference ChairText Analytics WorldChief Knowledge ArchitectKAPS Group

Text Analytics World Stay Engaged

Connect with your peers, the latest conference news and

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Facility Map

ENTRANCE

CITYVIEWBALLROOM

MEZZANINELOBBY

CONGRESSBOARDROOM

UP TOMEZZLEVEL

AMPHITHEATER

HARBORVIEWBALLROOM

TO SEAPORTHOTEL

FEDERALCOMPLEX

BACKBAYCOMPLEX

SKYLINE

TREMONT

NORTHEND

SOUTHEND

DARTMOUTH

FORT POINT

HARBORSIDE

WASHINGTON

CANBRIDGECOMPLEX

EXHIBIT HALL

COMMONWEALTH HALLEXHIBITS, BREAKS AND LUNCHES

BEACON HILLCOMPLEX

TRACK

TRACK3

KEYNOTE

TRACK4

KEYNOTE

KEYNOTE

TRACK 1

WATERFRONTBALLROOM

SPEAKERREGISTRATION

TRACK2

KEYNOTE

TRACK 2

TRACK 3

TRACK

PLAZA LEVEL

MEZZANINE LEVEL

HARBOR LEVEL

CONFERENCES

DemandCon

eMetrics

Predictive Analytics World

Context

Text Analytics World

Conversion Conference


Agenda Overview

TRACK 1: NEW TEXT ANALYTICS APPLICATIONS TRACK 2: TEXT ANALYTICS IN PRACTICE: HOW TO

Monday, September 30, 2013

7:30-8:30am Registration & Networking Breakfast • Commonwealth Hall

8:45-8:50am Conference Chair Welcome Remarks • Cambridge 1Tom Reamy, Text Analytics World and KAPS Group

8:50-9:30amKEYNOTE • Cambridge 1

Going with Stop Words to Reveal Personality and Social ProcessesJames Pennebaker, University of Texas at Austin

9:30-10:00am MINI-WORKSHOP • Cambridge 1Quick Start for Text Analytics

10:00-10:25am Exhibits & Morning Coffee Break

TRACKS NEW TEXT ANALYTICS APPLICATIONSCambridge 1

TEXT ANALYTICS IN PRACTICE: HOW TOCambridge 2

10:30-11:15am

Intelligence Applications

Analyzing K- 12 Disciplinary Records(If I Had to Do It Again)

Chris Bowman, Educational Analytics and Logistics

A Case Study of Text And Data Analytics at a Canadian Telecommunications Company

Tim Trussel, SASEd Galutan, Bell Canada

11:20am-12:05pm

Enterprise Applications Knowledge OrganizationCase Study

Text Mining of Electronic Health Records Sergei Ananyan, Megaputer Intelligence

Organizing Text and Excavating Value fromOrganizing Systems?

Lynda Moulton, LWM Technology Services

12:05pm-1:00pm Lunch in Exhibit Hall •Commonwealth Hall

1:00-1:45pm

Social Media Enterprise Applications

Social Graph Analytics: Text Analytics Approaches for Affinity Applications

Seth Earley, CEO, Earley & Associates

Phrase Analytics: A New Dimension in Text Analysis Frank Kowalkowski, Knowledge Consultants

Gil Laware, Information By Design

1:50-2:35pm

Big Data Big DataMarrying Structured Data and Unstructured Text, An Analysis of the National Highway Traffic Safety

Administration Kevin Reale, Analytics 8

Overcoming Text Analytics Barriers: Selecting the Right Tool for the Job

Janine Johnson, Verisk Analytics

2:35-3:00pm Exhibits & Afternoon Break •Commonwealth Hall

TRACKS Cambridge 1 Cambridge 2

3:00-3:45pm

Enterprise Applications

MFIP “Financial Data Factory Model” George Roth, Recognos

The Infernal Enterprise and the Sentiment of Semantics Sarah Berndt, Johnson Space Center

David Meza, Johnson Space Center

3:50-4:35pm

Knowledge Organization

Automating Expertise Identification Using Information You Already Have

John Mareda, Sandia National Laboratories

Evaluating the Quality of Auto-Categorization Results

Larry Lempert, Bloomberg BNA

4:40-5:40pmEXPERT PANEL • Cambridge 1

5:40-7:00pm Networking Reception with Dr. Andrew Fast •Commonwealth Hall

Lynda Moulton, LWM Technology Services Jeremy Bentley, Smartlogic

Paul Hofmann, Saffron Technology Andrew Fast, Elder Research Inc.


Agenda Overview

Tuesday, October 1, 20138:00-8:45am Registration & Networking Breakfast •Commonwealth Hall

8:45-8:50amConference Chair Welcome Remarks • Cambridge 1

Tom Reamy, Text Analytics World and KAPS Group

8:50-9:35amKEYNOTE • Cambridge 1

Future Directions in Text AnalyticsTom Reamy, Text Analytics World and KAPS Group

9:35-10:05am To Be Announced •Cambridge 1

10:05-10:35am Exhibits & Morning Coffee Break • Commonwealth Hall

TRACKSNEW TECHNIQUES AND APPROACHES

IN TEXT ANALYTICSCambridge 1

TEXT ANALYTICS CASE STUDIESCambridge 2

10:40-11:25am

Big Data Enterprise Applications

Enhancing Search with Predictive Analytics Dr. Andrew Fast, Elder Research, Inc.

Discovering Brand Impact from Text Catherine Havasi, Luminoso

11:30am-12:15pm

Knowledge Management Intelligence Applications

Taxonomies for Auto-Tagging Unstructured Content

Heather Hedden, Hedden Information Management

From Obstacle to Opportunity: The Value of Text Analytics for BI

Bryan Bell, Expert System

12:20pm-1:15pm Lunch in Exhibit Hall • Commonwealth Hall

1:15-2:00pm

Knowledge Organization Knowledge Organization

A Systemic Artificial Intelligence Approach to Difficult Text Analytics Tasks Lars Hard, Expertmaker

Semantic Publishing Georgi Georgiev, Ontotext AD

2:05-2:50pm

Big Data Knowledge Organization

Cognitive Computing With Associative Memories

Paul Hofmann, Saffron Technology

Semantics and Semantics: Integrating Text Analytics and Ontologies

Christine Connors, Knowledgent

2:50-3:10pm Exhibits & Afternoon Break • Commonwealth Hall

3:10-3:55pm

Enterprise Applications Big Data

Novel Use Cases for Text Analytics Rajesh Radhakrishnan, Zygous

Content Intelligence: 4 Case Studies in the New Way of Working Using Text Analytics

Jeremy Bentley, Smartlogic

4:00-5:00pmEXPERT PANEL • Cambridge 1

5:00-5:05pmConference Chair Closing Remarks • Cambridge 1

Tom Reamy, Text Analytics World and KAPS Group

Wednesday, October 2, 2013

9:00-4:30pm

WORKSHOP • Waterfront 1BC

Making Text Mining Work: Practical Methods and SolutionsDr. Andrew Fast, Elder Research Inc.

TRACK 1 NEW TECHNIQUES AND APPROACHES IN TEXT ANALYTICS TRACK 2 TEXT ANALYTICS CASE STUDIES

Bryan Bell, Expert System Catherine Havasi, Luminoso

Tim Trussel, SAS Christine Connors, Knowledgent


Full Agenda

Monday, September 30, 2013

7:30-8:30am • Commonwealth Hall

Registration & Networking Breakfast

8:45-8:50am • Cambridge 1

Conference Chair Welcome RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World and Chief Knowledge Architect, KAPS Group


KEYNOTE

Going with Stop Words to Reveal Personality and Social ProcessesThe smallest and most forgettable words in any language are pronouns (e.g., I, we, it), articles (a, the), prepositions (to, of, for), and a handful of other function word categories. Over the last several years, research in social psychology has demonstrated how people’s natural use of function words in natural conversation, literature, emails, blogs, and tweets can reveal their motivations, honesty, status, relationships with others and even sentiment. Implications of using stop words to track and understand human behavior will be discussed.

Speaker: James Pennebaker, Author of “The Secret Life of Pronouns: What Our Words Say About Us”, Regents Centennial Professor and Chair Department of Psychology University of Texas at Austin


MINI-WORKSHOP

Quick Start for Text AnalyticsWhile text analytics solutions offer the hope of beginning to tame the growing information overload, few organizations have the experience to confidently assess what text analyt-ics is, what it can do for their business, or how to select the right tools and right methodology to get the most out of text analytics. Without this experience, organizations can either miss out on a powerful new tool or worse pick the wrong tool and the wrong implementation strategy and waste their time and resources without solving their information overload problems.

This mini-workshop presents a methodology for getting started with text analytics that ensures that organizations will get the most out of text analytics. It consists of three ele-ments. First, an audit that assesses the organization’s content and content structure, the information behaviors and needs, and their people and technology. This produces a text ana-lytics strategy. Second, a text analytics software evalua-tion process that helps the organization navigate the ever changing vendor landscape. Third, an initial pilot project that creates the foundation for future text analytics applications development, including initial taxonomy development or as-sessment and training of internal resources.We will end with a group exercise knowledge audit.


Exhibits & Morning Coffee Break


Track 1: NEW TEXT ANALYTICS APPLICATIONS

Intelligence ApplicationsAnalyzing K-12 Disciplinary Records (If I Had to Do It Again)In the world of public education, disciplinary problems have grown in number and severity. Using text analytics, it was possible to look into developing solutions to these problems by looking into unstructured narratives describing the inci-dent. The unstructured data describing the infraction yielded the true source of the problem. This session would focus on what was done, and what should have been done to produce better results that would have been accepted more readily by administrators.

Speaker: Chris Bowman, President, Educational Analytics and Logistics


Track 2: TEXT ANALYTICS IN PRACTICE: HOW TO

A Case Study of Text And Data Analytics at a Canadian Telecommunications CompanyMany Canadian Telecommunications companies want an in-tegrated way to gain additional insight into their customer base through the combination of call center agent notes and direct customer survey results with the traditional customer marketing metrics. The proposed session would give; a rep-

TRACK 1: NEW TEXT ANALYTICS APPLICATIONS TRACK 2: TEXT ANALYTICS IN PRACTICE: HOW TO


resentation of the architecture and process to integrate the multiple big data sources; a demonstration of the discov-ery and automation process for classification (both catego-rization and sentiment); a simulated analyst workbench to consume the results of the process. Speakers: Tim Trussel, Solution Specialist, SAS

Ed Galutan, Bell Canada

11:20-12:05pm • Cambridge 1


Enterprise ApplicationsText Mining of Electronic Health RecordsThe ability to extract information from EHR could benefit doctors, nurses, and insurance specialists. However, the anal-ysis of EHR data is a daunting task: information is dispersed through piles of textual documents, while the semantics of healthcare processes and professional jargon are involved.

Text mining automates extraction of relevant features from EHR data. The extraction and intuitive presentation of current symptoms, progression of problems, suitable ICD-9 codes, family history, test results, prescribed medications, side effects, allergies, and other custom features of interest enables healthcare professionals quickly grasp the holistic picture of disease and patient thus enhancing the quality of care.

Speaker: Sergei Ananyan, CEO, Megaputer Intelligence


Track 2:Text Analytics in Practice: How To

Knowledge OrganizationOrganizing Text and Excavating Value from Organizing Systems?Lynda Moulton shares observations about what has worked for client vocabulary management programs. The hurdle is where to begin when the pile of terminology for any enter-prise is huge and growing. Organizations launching business analytics, sentiment analysis, or enterprise search initiatives will learn about:

•Initiating a vocabulary framework•Considering tools for managing terminology•Finding sources of specialized, unique and proprietary terms for

an enterprise within a vertical business domain•Harvesting candidate terms•Maintaining, sustaining and refining lists

To be successful, the effort must be sustained and sustainable.

Speaker: Lynda Moulton, Principal Consultant,

LWM Technology Services

12:05-1:00pm • Commonwealth Hall

Lunch in Exhibit Hall



Social MediaSocial Graph Analytics: Text Analytics Approaches for Affinity ApplicationsOrganizations are attempting to leverage social media and social connections through LinkedIn profile data, and Facebook affinities. Other social application network attributes to develop tools and applications to discover hidden relationships or desirable connections for ecommerce, networking, talent development, career planning, search enhancement, content curation, expertise location and even knowledge management applications. The core to any of these systems is the same – describe attributes, normalize the data, develop matching engines, run clustering algorithms and execute queries across large data sets. In this session we will discuss best practice for placing social networks in your unstructured data strategy

Speaker: Seth Earley, CEO, Earley & Associates



Enterprise ApplicationsPhrase Analytics: A New Dimension in Text AnalysisOrganizations spend large amounts of money documenting using text models. Without analytics, there is little to show for these efforts.

Analysis confirms that changes need to be made in the struc-ture and direction of an enterprise but it is not clear where to start and end the efforts. With limited resources, the change effort must be targeted to improve the bottom line results.

Phrase analytics is a key management technique for ana-lyzing change and assessing the implications of decision-

Full Agenda


making. Analyzing phases used to describe the business, management better understands the impact of change and assess various business alternatives.Speakers: Frank Kowalkowski, President, Knowledge ConsultantsGil Laware, President, Information By Design



Big Data

Marrying Structured Data and Unstructured Text, An Analysis of the National Highway Traffic Safety AdministrationUsing publicly available data that has the interesting characteristic of being both well structured and having significant unstructured text, I will discuss various ways to approach this sort of analysis, using the NHTSA data as the primary source.

Speaker: Kevin Reale, Regional Director, Analytics 8



Big DataOvercoming Text Analytics Barriers: Selecting the Right Tool for the JobWhile there is great value locked deep in companies’ textual assets, mining this information can be both time-consuming and expensive. These costs often serve as a barrier to entry, preventing companies from capitalizing on the business value inherent in text. Fortunately, there are many tools available which can help you begin to transform this unstructured data into actionable intelligence.

Through case study examples, this session will explore multiple technologies, including MapReduce, which can be used to tackle many typical text mining problems, help you discover the possibilities buried in your text and boost your business case.

Speaker: Janine Johnson, Director of Analytics, Verisk Analytics


Exhibits & Afternoon Break



Enterprise Applications

MFIP “Financial Data Factory Model”George Roth will present a new data factory concept that was implemented in the US and became an Industry Utility for the Mutual Fund Industry. He will present the challenges of using NLP to extract financial data and maintain the provenance information.Speaker: George Roth, CEO, Recognos



The Infernal Enterprise and the Sentimentof SemanticsWith an enterprise over half a century old consisting of domains as far reaching as the cosmos, defining the granular-ity and quality of user expectations is an infernal exercise. At NASA’s Johnson Space Center we are challenged by a multi-tude of variables impacting the information ideal. Text ana-lytics, by-way-of iterative semantic enhancement, provides a ferry through the processes of knowledge capture, develop-ment, and transfer for foreseeable needs and unanticipated future use. Operational Excellence Program Manager David Meza and JSC Taxonomist Sarah Berndt review a 5 year path of semantic development and its perceived application.Speaker: Sarah Berndt, Taxonomist, Johnson Space CenterDavid Meza, Operational Excellence Program Manager, Johnson Space Center



Automating Expertise Identification Using Information You Already HaveThe Knowledge Systems organization at Sandia National Laboratories has developed a system that can identify or-ganizational and staff expertise from multiple, existing, free-text information sources and present results in an inter-active display. A key advantage of this approach is that it is self-maintaining. The system uses information already in our environment, and is kept current through normal work pro-

Full Agenda


cesses. The system will allow us to better respond to external inquiries of capabilities. It will enable identification of internal collaboration partners and reduce duplication of effort. It will help us know what expertise we are losing due to retirements.

Speaker: John Mareda, Manager, Knowledge Systems, Sandia Na-tional Laboratories



Knowledge OrganizationEvaluating the Quality of Auto-Categorization Results“Autocategorization” is “auto” only in part–there is much in the process that still requires old-fashioned human judg-ment. One critical step the humans must take is to evalu-ate the quality of results and feed refinements back into the process. But how do you measure quality when human indexers themselves apply topics inconsistently and often differ over applicability of topics? This case study will con-

sider one publisher’s experience with quality measurement in light of human variability, and will offer thoughts on what is “good enough”.

Speaker: Larry Lempert, Director, Product Research and Planning, Bloomberg BNA


EXPERT PANELSpeakers:

Lynda Moulton, Principal Consultant, LWM Technology Services

Jeremy Bentley, CEO, Smartlogic

Paul Hofmann, CTO, Saffron Technology

Dr. Andrew Fast, Chief Scientist, Elder Research, Inc.


Networking Reception

Full Agenda

Visit the Feedback Lounge!

Come see us at booth #130 andenter to win some great prizes!

We will also be giving away someawesome prizes! It's easy, here's how you can participate:

• Share your thoughts about the event either by writing on our whiteboards or by recording a video testimonial.

• See our attendant in Booth #130 and

have your passport stamped for a chance to win additional prizes.

Stop by, have a seat, relax, grab a snack or drink and share how your day is going.

@Booth #130


Tuesday, October 1, 2013


Registration & Networking Breakfast


Conference Chair Welcome RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World and Chief Knowledge Architect, KAPS Group


KEYNOTE

Future Directions in Text AnalyticsWhat is the future for text analytics? Will it continue to be dominated by text mining applications which offer the advantage of automatic processing? Will the Social Media boom go bust or settle into a mature but hardly revolution-ary market? Will the market for text analytics continue to grow 20% a year or will it crash or take off? Will there be revolutionary new techniques/applications or will we see a slower evolutionary growth?

To answer any of these questions, we have to understand what is driving text analytics and what the primary obstacles are. Long time text analytics speaker and practitioner, Tom Reamy, takes a look at a number of themes that will likely shape the near future of text analytics.

The first is how to add intelligence, depth, and meaning to text mining methods. This involves a set of strategies to dynamically combine what cognitive scientists call Fast (text mining) and Slow (text analytics) Thinking which the human brain does all the time. . This also involves new ap-proaches such as looking at different kinds of text such as function words that our keynote speaker, James Pennebaker is exploring.

The second theme is how to build on the Watson-like en-semble methods. Is the IBM approach like Watson for Health-care, the right or only way or are there cheaper and smarter ways to develop Watson-like capabilities for the rest of us?

A third theme is how to make text analytics easier to develop. Right now every project is a custom job with no or very little resources to build upon and requires a great deal of development by either taxonomists/linguists and/or programmers/mathematicians. Is there a way to reduce this cost by developing libraries of resources and/or making

TA software much, much easier to use? Or perhaps some-thing really new like a learning platform for text analytics software?

Join us for a speculative look at the future of text analytics – and bring your own ideas to the discussion.

Speaker: Tom Reamy, Conference Chair, Text Analytics World and Chief Knowledge Architect, KAPS Group


To Be Announced


Exhibits & Morning Coffee Break


Track 1: NEW TECHNIQUES AND APPROACHES IN TEXT ANALYTICS

Big DataEnhancing Search with Predictive AnalyticsSearch is the cornerstone of enterprise information man-agement. As the amount of searchable information grows, however, keyword relevance becomes increasingly inad-equate for finding valuable information. In this talk, we highlight successes we’ve had incorporating results from predictive analytics models into search, including predictive facets and enhanced relevance functions.

Speaker: Dr. Andrew Fast, Chief Scientist, Elder Research, Inc.


Track 2: TEXT ANALYTICS CASE STUDIES

Enterprise ApplicationsDiscovering Brand Impact from TextCongratulations, you’ve had a video go viral! Or condolences – a product launch didn’t go the way you anticipated. Now what? What will be the long term brand impact and did your social media or consumer event even matter?

We’ll demo how consumer-facing companies evaluate the impact of high traffic point events on brands and products as well as how lessons from such events can be used on more every day occurrences.

Speaker: Catherine Havasi, CEO, Luminoso

Full Agenda




Knowledge ManagementTaxonomies for Auto-Tagging Unstructured ContentWhen people think of taxonomies, they think of structure. But even unstructured content can make use of taxonomies to fa-cilitate search, discovery, and content findability. This session gives a brief introduction to taxonomies, an overview of the different auto-indexing technologies of information extrac-tion and auto-categorization, and explains the different ways that taxonomies can support auto-indexing. Case examples of rules and synonyms that support auto-indexing of un-structured content will also be presented.

Speaker: Heather Hedden, Taxonomy Consultant, Hedden Informa-tion Management



Intelligence ApplicationsFrom Obstacle to Opportunity: The Value of Text Analytics for BISocial media data, customer service records and feedback emails all contain invaluable information about what customers think and how they experience your company and products. As companies gain access to these channels, text analytics tools are being recognized for their value in deriving critical insight from information previously locked in inaccessible unstructured information.

Semantics’ understanding of the meaning of words brings an unprecedented level of precision and recall to the extraction of information and the discovery of patterns and relationships. Learn how to leverage this powerful tool to derive insight from all of your information assets.

Speaker: Bryan Bell, Executive Vice President, Expert System


Lunch in Exhibit Hall



Knowledge Organization

A Systemic Artificial Intelligence Approach to Difficult Text Analytics TasksText analytics for sparse unstructured data or data sets with initial poor quality, for example social media posts or user-created product information, pose many hard challenges and is often approached in a number of experimental ways in order to reach an acceptable solution. By viewing problems in this class as solvable using a multitude of highly specific clas-sifiers, feature extractors and predictive models that directs the control flow, complete systems can be efficiently realized that produces strong results while providing robustness and allows for incremental improvements.

Speaker: Lars Hard, CTO, Expertmaker



Knowledge OrganizationSemantic PublishingWhat is common between the BBC, Press Association, Euro-money and all Dutch daily newspapers? They all chose non-disruptive semantic layers to push forward their business. In the last five years, a combination of linked data based enrichment and dynamic publishing were the major inno-vation driver in authoring, editorial and publishing aspects of content production. Over the years, a repetitive solution pattern for semantic publishing got mastered and applied over and over again. We will tell you how it works and how to achieve it – from the domain aware schema modeling, through sophisticated text analytics, to readers’ profiles aware publishing.Speaker: Georgi Georgiev, Head of Text Analytic Division, Ontotext AD



Big DataCognitive Computing With Associative MemoriesWe all have heard of IBM Watson Cognitive Computing, which works the way humans learn and reason. There is another commercial cognitive computing player, Saffron Technology.

Saffron’s Associative Memory combines semantics and statis-tics for advanced search and prediction on top of a super fast triple store.

Full Agenda


Saffron delivers a real-time, always learning cognitive com-puting platform that is used for example for predictive main-tenance and spare parts management at Boeing, for threat scoring at The Bill and Melinda Gates Foundation, to disrupt drug trafficking at JAITF, and for automated ECG diagnoses at a top hospital in New York.

Speaker: Paul Hofmann, CTO, Saffron Technology



Knowledge OrganizationSemantics and Semantics: Integrating Text Analytics and OntologiesTwo key enablers – and often one OR the other – come to mind when ‘semantic’ tools are mentioned: text analytics tools and conceptual models (taxonomies, thesauri and on-tologies.) In many enterprise platforms, they are separate ca-pabilities that occasionally work together. They can be more tightly integrated in a mutually beneficial arrangement. The ontologies can provide valuable inputs to the text processing

pipeline, and the processing pipeline can add valuable model information to the ontologies. In this session, we will describe how we’ve achieved this integration with great success, refer-ence architecture included!

Speaker: Christine Connors, Chief Ontologist, Knowledgent


Exhibits & Afternoon Break



Enterprise ApplicationsNovel Use Cases for Text AnalyticsRajesh Radhakrishnan of the University of Virginia will discuss a set of novel or inventive use cases for applying text analytics, including web, semantic, affinity analytics among others, for addressing IT problems.

Speaker: Rajesh Radhakrishnan, Principal Consultant and Chief Architect, Zygous

Full Agenda




Big DataContent Intelligence: 4 Case Studies in the New Way of Working Using Text AnalyticsThis session uses four client case studies to examine the value of text analytics and illustrate the new way of working required by modern information management (aka Big Data).

The case studies will illustrate:

•Monetization of content in media •Predictive analytics in healthcare •Knowledge recycling in research •Contract compliance in financeSpeaker: Jeremy Bentley, CEO, Smartlogic


EXPERT PANELSpeaker: Bryan Bell, Executive Vice President, Expert System Tim Trussel, Solution Specialist, SASCatherine Havasi, CEO, Luminoso Christine Connors, Chief Ontologist, Knowledgent


Conference Chair Closing RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World and Chief Knowledge Architect, KAPS Group

www.textanalyticsworld.com

SAVE THE DATES

BOSTON • OCTOBER 6-8, 2014

SAN FRANCISCO • MARCH 19 - 21, 2014

PRO DUCED BY


Workshops

Sunday, September 29, 2013

Full Day: 9:00am – 4:30pm • Cambridge

R for Predictive Modeling: A Hands-On Introduction

Instructor

Max Kuhn Director, Nonclinical StatisticsPfizer

Intended AudiencePractitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.”

Knowledge LevelEither hands-on experience with predictive modeling (without R) or hands-on familiarity with any programming language (other than R) is sufficient background and prepa-ration to participate in this workshop.

Workshop DescriptionThis one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose at-tendees to best practices driving R and its rich set of predic-tive modeling packages, providing hands-on experience and know-how. R is compared to other data analysis platforms, and common pitfalls in using R are addressed.

The instructor, a leading R developer and the creator of CARET, a core R package that streamlines the process for cre-ating predictive models, will guide attendees on hands-on execution with R, covering:

• A working knowledge of the R system

• The strengths and limitations of the R language

• Preparing data with R, including splitting, resampling and variable creation

• Developing predictive models with R, including decision trees, support vector machines and ensemble methods

• Visualization: Exploratory Data Analysis (EDA), and tools that persuade

• Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting

Hardware:Bring Your Own Laptop

Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download.

Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Schedule• Workshop starts at 9:00am

• Morning Coffee Break at 10:30am – 11:00am

• Lunch provided at 12:30 – 1:15pm

• Afternoon Coffee Break at 2:30pm – 3:00pm

• End of the Workshop: 4:30pm


Workshops


Full Day: 9:00am – 4:30pm • Waterfront 1AB

Making Text Mining Work: Practical Methods and Solutions

Instructor

Dr. Andrew FastChief ScientistElder Research, Inc.

A free copy of Dr. Fast’s book on Practical Text Mining is included.

Intended AudiencePractitioners seeking tools to analyze unstructured text data.

Knowledge LevelNo previous experience required though some technical background in statistics or predictive analytics will be useful.

Attendees will receive an electronic copy of the course notes via USB drive.

Workshop DescriptionIn their 2011 Hype Cycle report, Gartner has Text Analytics sliding into the “Trough of Disillusionment”, highlighting the difficulty of achieving its great promise. Despite this verdict, text mining and text analytics can be valuable tools, if you know where to look for the solution. This workshop will address:

• The text mining solutions available now and the problems for which they are best suited

• Best practices in the key text mining areas

• How to set positive but realizable expectations for the return on investment of a text mining project

• This one-day session surveys standard and advanced methods for text mining.

Dr. Fast will describe the key inner workings of leading algo-rithms, demonstrate their performance with business case studies, compare their merits, and show how to pick the ap-proach best suited for your project. Methods covered include

search indexes, text classification, information extraction, document similarity and more.

The key to successfully leveraging these methods is to find the right “hammer” for your text “nails” and understand the limits of those techniques.

Dr. Fast will share his experience mining text on real-world applications in several fields, highlighting the range of avail-able solutions and how to combine technologies to maximize the value of the vast store of (untapped) unstructured data.

If you’d like to become a text mining practitioner – or if you already are, and would like to hone your knowledge across methods and best practices, this workshop is for you!

What you will learn

• The tremendous value of learning from unstructured textual data

• How to choose the proper text mining solution

• Text mining best practices


• First AM Break from 10:00 – 10:15am

• Second AM Break from 11:15 – 11:30am

• Lunch from 12:30 – 1:15pm

• First PM Break from 2:00 – 2:15pm

• Second PM Break from 3:15 – 3:30pm

• Workshops ends at 4:30pm

Attendees receive a free copy of Andrew Fast’s book on Prac-tical Text Mining, an electronic copy of the course notes via USB drive, and an official certificate of completion at the con-clusion of the workshop


Workshops


Full-day: 9:00am – 4:30pm • Harborview 1

The Best and Worst of Predic-tive Analytics: Predictive Model-ing Methods and Common Data Mining Mistakes

Instructor

Dr. John ElderCEO & Founder Elder Research, Inc.

A free copy of John Elder’s book Statistical Analysis and Data Mining Applications is included.

Intended AudienceInterested in the true nuts and bolts

Knowledge Level:Familiar with the basics of predictive modeling.

Attendees will receive an electronic copy of the course notes via USB drive.

Workshop DescriptionPredictive analytics has proven capable of enormous returns across industries – but, with so many core methods for pre-dictive modeling, there are some tough questions that need answering:

• How do you pick the right one to deliver the greatest impact for your business, as applied over your data?

• What are the best practices along the way?

• And how do you avoid the most treacherous pitfalls?

This one-day session surveys standard and advanced methods for predictive modeling.

Dr. Elder will describe the key inner workings of leading al-gorithms, demonstrate their performance with business case studies, compare their merits, and show you how to pick the

method and tool best suited to each predictive analytics project. Methods covered include classical regression, deci-sion trees, neural networks, ensemble methods, uplift model-ing and more.

The key to successfully leveraging these methods is to avoid “worst practices”. It’s all too easy to go too far in one’s analysis and “torture the data until it confesses” or otherwise doom predictive models to fail where they really matter: on new situations.

Dr. Elder will share his (often humorous) stories from real-world applications, highlighting the Top 10 common, but deadly, mistakes. Come learn how to avoid these pitfalls by laughing (or gasping) at stories of barely averted disaster.

If you’d like to become a practitioner of predictive analytics – or if you already are, and would like to hone your knowledge across methods and best practices, this workshop is for you!

What you will learn:

• The tremendous value of learning from data

• How to create valuable predictive models for your business

• Best Practices by seeing their flip side: Worst Practices


• First AM Break from 10:00 – 10:15am

• Second AM Break from 11:15 – 11:30am

• Lunch from 12:30 – 1:15pm

• First PM Break: 2:00 – 2:15pm

• Second PM Break: 3:15 – 3:30pm

• Workshops ends at 4:30pm


Workshops


Full Day: 9:00am – 4:30pm • Waterfront 2

Supercharging Prediction: Hands-On with Ensemble Models

Sponsored by

Instructor

Dean AbbottPresident Abbott Analytics, Inc.

Intended Audience• Practitioners: Analysts who would like to learn how to build and gain insight from model ensembles using a state-of-the-art data mining software tool.

• Technical Managers: Project leaders and managers who are responsible for developing predictive analytics solutions and want to understand the potential value and limitations of model ensembles.

Knowledge Level: Basic understanding of statistical methods or predictive modeling algorithms.

Workshop Description

Once you know the basics of predictive analytics including data exploration, data preparation, modeling building, and model evaluation, what can be done to improve model ac-curacy? One key technique is the use of model ensembles, which “groups” or “rolls up” models into a single, usually-bet-ter model.

Are model ensembles an algorithm or an approach? How can one understand the influence of key variables in the ensembles? Which options affect the ensembles most? This workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boost-ing. Attendees will learn “best practices” and attention will be paid to learning and experiencing the influence various options have on ensemble models so that attendees will gain a deeper understanding of how the algorithms work qualita-

tively and how one can interpret resulting models. Attendees will also learn how to automate the building of ensembles by changing key parameters.

Participant Background

Participants are expected to know the principles of predic-tive analytics. This hands-on workshop requires all partici-pants to be involved actively in the model building process, and therefore must be prepared to work independently or in a small team throughout the day. The instructor will help participants understand the application of predictive analyt-ics principles and will help participants overcome software issues throughout the day.

Software

The key concepts covered during this workshop can be applied to many predictive analytics projects regardless of the software employed. However, for this workshop’s hands-on experience, Salford System’s SPM suite will be used. SPM is a state-of-the art software package known for its capabilities in building model ensembles. A license will be made avail-able to participants for use on that day (included with work-shop registration).

Hardware: Bring Your Own Laptop

Each workshop participant is required to bring their own laptop running Windows; both PCs and Macintoshes running Windows (through Parallels Desktop or Fusion are accept-able). It is strongly recommended that the software be in-stalled prior to the workshop by visiting the Salford Systems booth in the Predictive Analytics World exposition hall and installing the software from CD or USB.

Attendees receive a course materials book and an official cer-tificate of completion at the conclusion of the workshop.

Schedule• Software installation (if not already installed): 8:30am

• Workshop program starts at 9:00am

• Morning Coffee Break at 10:30 – 11:00am


• Afternoon Coffee Break at 2:30 – 3:00pm



Workshops

Thursday, October 3, 2013

Full Day: 9:00am – 4:30pm • Waterfront 2

Advanced Methods Hands-on: Predictive Modeling Techniques

Sponsored by

Instructor

Dean AbbottPresident Abbott Analytics, Inc.

Intended Audience

• Practitioners: Analysts who would like a tangible introduc-tion to predictive analytics or who would like to experience analytics using a state-of-the-art data mining software tool.

• Technical Managers: Project leaders, and managers who are responsible for developing predictive analytics solutions, who want to understand the process.

Knowledge Level: Familiar with the basics of predictive modeling.

Workshop Description

Once you know the basics of predictive analytics and have prepared data for modeling, which algorithms should you use? What are the similarities and differences? Which options effect the models most? This workshop dives into the key pre-dictive analytics algorithms for supervised learning,including decision trees, linear and logistic regression, neural networks, k-nearest neighbor, support vector machines, and model ensembles. Attendees will learn “best practices” e e atten-tion will be paid to learning and experiencing the influence various options have on predictive models so that attendees will gain a deeper understanding of how the algorithms work qualitatively.

Participant Background

Participants are expected to know the principles of predic-tive analytics. This hands-on workshop requires all partici-pants to be involved actively in the model building process, and therefore must be prepared to work independently or in a small team throughout the day. The instructor will help participants understand the application of predictive analyt-ics principles, and will help participants overcome software issues throughout the day.

Software

While the majority of concepts covered during this workshop apply to all predictive analytics projects – regardless of the particular software employed – this workshop’s hands-on ex-perience is achieved via StatSoft STATISTICA. A license will be made available to participants for use on that day (included with workshop registration).

Hardare: Training Computers Are Included

Each workshop participant is required to bring their own laptop running Windows. Instructions will be provided to install a trial license for the analytics software used during this training program.

Attendees receive a course materials book and an official cer-tificate of completion at the conclusion of the workshop.

Schedule• Software installation at 8:45am

• Workshop program starts at 9:00am

• Morning Coffee Break at 10:30 – 11:00am


• Afternoon Coffee Break at 2:30pm – 3:00pm



Keynote Bios

For more speaker bios, please visit www.textanalyticsworld.com/boston/2013/speakers

Tom Reamy

Conference Chair

Text Analytics World and

Chief Knowledge Architect, KAPS Group

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and text analytics consultants. Tom has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analytics consulting. Tom’s academic background in-cludes a Master’s in the History of Ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowl-edge management conferences. When not writing or devel-oping KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Keynote: Future Directions in Text Analytics

James Pennebaker

Author of “The Secret Life of Pronouns: What Our Words Say About Us”

Regents Centennial Professor & Chair Department of Psychology University of Texas at Austin

James W. Pennebaker is the Regents Centennial Professor of Liberal Arts and the Departmental Chair in the Psychology Department at the University of Texas at Austin, where he received his Ph.D. in 1977. He has been on the faculty at the University of Virginia, Southern Methodist University, and, since 1997, The University of Texas. He and his students are exploring the links between traumatic experiences, expres-sive writing, natural language use, and physical and mental health. His studies find that physical health and work per-formance can improve by simple writing and/or talking ex-ercises. His most recent research focuses on the nature of language and emotion in the real world. The words people use serve as powerful reflections of their personality and social worlds. Author or editor of 9 books and over 250 arti-cles, Pennebaker has received numerous awards and honors.

Keynote: Going with Stop Words to Reveal Personality and Social Processes


See Who Sponsored in Boston 2013

IT NEWS, RESOURCES, EVENTS

MEDIA PARTNERS

BRONZE SPONSOR


343 341 339 337 335 333 331 327 325 323 321 319 317 315 311 309

142 140 138 136 124 122 120 118 116 114 110 108

340 334 328 322

241 235 229 223

141

234 228

123

135 129

ENTRANCE ENTRANCE

P10

P9

P8

P7

P6

P5

P4

P3

P2

P1

Exhibit Hall Floorplan

123 Foresee 328 Predixion Software

130 Feedback Lounge 335 UC San Diego Extension

134 Sales Office 337 IIA

141 StatSoft 340 TIBCO Spotfire Division

229 Absolutdata Technologies, Inc. 341 Tiger Analytics

235 Deloitte Global Services 343 INFORMS

319 University of California, Irvine Extension P2 Turing Data LLC

321 Miner 3D P7 QueBIT Consulting

Exhibitors


Sponsor Descriptions

BRONZE SPONSOR

Gnip is the world’s largest and most trusted provider of social data, serving customers in a range of industries from social media monitoring and business intelligence to finance and government. Gnip’s customers deliver social media analytics to over 95% of the Fortune 500.

Gnip delivers more than 120 billion realtime social data ac-tivities each month, providing access to data from dozens of sources including Twitter, Tumblr, Foursquare, WordPress, GetGlue, Disqus and more. For more information, email [email protected] or visit www.gnip.com.

MEDIA PARTNERS

Customer Think is a global online community of busi-

ness leaders striving to create profitable customer-centric enterprises. Each month, the site reaches over 200,000 sub-scribers and visitors from 200 countries via email, RSS, Linke-dIn and Twitter. CustomerThink currently serves over 80,000 visitors per month. Our main areas of coverage are Customer Relationship Management, Customer Experience Manage-ment and Social Business. This is the place to learn about every facet of customer-centric business management in ar-ticles, blogs, interviews, and news.

IT Briefcase is a focused online publication that attracts busi-ness and IT professionals who are actively researching busi-ness integration solutions.

Our growing audience can expect to view the most up to date industry news, articles, whitepapers, webcasts, and blogs in additional to IT Briefcase original editorial content showcased in the “Fresh Ink” and “IT Analyst Blog” sections of our website. Some of the topics we cover include Data and Analytics, Cloud Computing, Application Integration, Health IT and Open Source.

SmartData Collective, an online community moderated by Social Media Today, provides enterprise leaders access to the latest trends in Business Intelligence and Data Management. Our innovative model serves as a platform for recognized, global experts to share their insights through peer contri-butions, custom content publishing and alignment with industry leaders. SmartData Collective is a key resource for executives who need to make informed data management decisions.

IT NEWS, RESOURCES, EVENTS

EVENTS CALENDAR

www.risingmedia.com

www.emetrics.org

London - October 23-24, 2013Berlin - November 4-5, 2013San Francisco - March 16-20, 2014Toronto - May 12-15, 2014Chicago - June 16-19, 2014Boston - October 6-9, 2014

www.predictiveanalyticsworld.com

London - October 23-24, 2013Berlin - November 4-5, 2013San Francisco - March 16-21, 2014Toronto - May 12-15, 2014Chicago - June 16-19, 2014Boston - October 5-9, 2014

www.affiliatemanagementdays.com

San Francisco - March 19-20, 2014

www.admonstersops.co.uk

London - November 22, 2013

www.buildingbusinesscapability.com

Las Vegas - November 11-15, 2013

www.searchmarketingexpo.com

Stockholm - October 14-15, 2013Milan - November 7-8, 2013Las Vegas - November 20-21, 2013Jerusalem - January 2014San Jose - March 11-13, 2014Sydney - April 2014Munich - March 25-26, 2014London - May 2014Paris - June 2014Seattle - June 2014

www.semtechbizsf2013.semanticweb.com

San Francisco - June 2-5, 2014

www.socialmediaeconomy.de

Munich - November 11-12, 2013

www.textanalyticsworld.com

San Francisco - March 17-19, 2014Boston - October 6-8, 2014

www.conversionconference.com

London - October 23-24, 2013Berlin - November 4-5, 2013San Francisco - March 17-19, 2014Chicago - June 17-19, 2014Boston - October 6-8, 2014

www.socialgamingsummit.de


www.devcon.allfacebook.de

Berlin - November 2013

www.marketingcon.allfacebook.de

Berlin - November 2013

www.webeffectivenessconference.com

USA - September 2014

www.localsocialsummit.com


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