TWTRCON DC 09: Attensity, TwAitter, Tweet Feel Biz, PeopleBrowsr
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Transcript of TWTRCON DC 09: Attensity, TwAitter, Tweet Feel Biz, PeopleBrowsr
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Twitter for Business | Washington DC | October 22, 2009
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@twtrcon#twtrcon
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Twitter for Business | Washington DC | October 22, 2009
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Thank You to Our Sponsors
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Twitter for Business | Washington DC | October 22, 2009
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Follow Our Tweets
@TWTRCON Conference & general updates
@TWTRBIZ Twitter for business
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@TWTRMEDIA Twitter in media & entertainment
@TWTRSTATS Social media statistics & research
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Twitter for Business | Washington DC | October 22, 2009
Official Network Sponsor
Twitter Business Tools
Attensity, TwAitter, TweetFeel Biz, PeopleBrowsr
• Eunice Zachry Hill, Director Civilian Agencies Sales, Attensity | @attensity
• Ryan Bell, President, TwAitter | @Twaitting
• Jean Davis, Co-founder, TweetFeel Biz | @JeanMarie50 | @conversition
• Jodee Rich, Marketing Team Leader, PeopleBrowsr | @wingdude | @PeopleBrowsr
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The Conversation-Driven EnterpriseLeveraging the Power of First Person Intelligencein Social Media and Other Conversations
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Over 247 billion emails
are sent every day.
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Over 15,000 tweets are sent every minute.
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Over 100,000 suggestions, tips, and tricks are posted to expert forums daily.
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All this information is valuable First Person Intelligence™
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Leveraging Conversations: Best Practices
Monitor Conversations – Inside and outside your companyAnalyze Conversations – Use the power of sophisticated text analytics to reveal information hidden in the textRespond to Conversations – Use the actual content of conversations to route and respond effectively
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Attensity Content AcquisitionDeeper Dive Web ScrapingInput of Email, surveys, etc
Attensity VOC
A Comprehensive System for Leveraging Conversations
Attensity CloudListening Post
Broad Web Coverage
Attensity CloudReporting
Attensity Auto Response
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Advantages of this approach
Up and Running Fast with Attensity Cloud – solution grows with youAllows you to take advantage of the #1 “listening post” + the power of Attensity’s deep language understanding for a complete view of customer conversations inside and outside of your company
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Attensity Cloud: The modern day “clipping service”Real-Time Social Media Monitoring
• All blogs (over 110 million) currently indexed
• Forums (tens of thousands)
• Online mainstream news (over 20 thousand)
• Top rich media sites; video/photo (over 450)
• Microblogging• LinkedIn Answer• Comment Tracking
• Support for 10 languages including complex character languages: English, Spanish, French, Italian, German, Japanese, simplified Chinese, Korean, Russian, Finnish, with more to come
• Keywords, content and sources.
• Ability to easily filter content by language and country of origin.
• Comment, views, engagement, topical in-bound links
• De.licio.us bookmarks, Digg votes
• Twitter metrics, forum thread size
• Compete.com site traffic metrics
• Users can setup topics to track and can be viewing & analyzing results in a matter of a couple of minutes
• Date delivered to the dashboard in Real Time as it is discovered and indexed
• Configurable, transparent influence model
Data Coverage: most comprehensive in
the market
Globalized:Extensive international
capabilitiesSocial Media Metrics: Real Time & Self
Service:
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Analyze
Go beyond media monitoring for marketing campaign effectivenessTo extract ACTIONABLE FACTS18+ years of natural language processing experience in “reading” documents
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Mountains of Text Become Actionable
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H1N1 AnalysisWith Attensity, it becomes possible to mine Twitter for all emerging instances of sickness, hospitalization, and positive/negative testing, related to H1N1 or other emerging diseases. Can be utilized for trending and prediction of impending outbreak.
Mined Twitter for data using web crawling technology 102+ queries related to disease, symptoms, and actions (checked into Dr. Office / Taking my child to the hospital) 14K results in a 4 hr period Utilized Attensity to obtain a subset of valuable results (~3K) Utilized Attensity to categorize results, such as “instances of hospitalization, instances of emerging sickness” Utilized Attensity to automatically obtain further information, such as symptoms, host of disease, and test results.
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H1N1 Analysis
Dealing with a subset of ~3K of results
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Instances of Sickness
Top Hosts Top Symptoms
So, we can easily determine who was claiming sickness as well as symptoms in context.
Example Posts specific to Host = baby
• My baby is sick pray that it's not swine flu on her way to hospital• Just got back from the city my baby is sick it took me 2 hrs to get there looking for a new doctor• My baby is sick and has A fever... Doctor say's it's a side affect from the flu mist...Hope she feels better
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Instances of Symptoms
Top HostsReported Symptoms
Example tweets where host is a youth and symptom includes fever
Home with my sick son, fever, dizzy and stomach ache can't see dr until the morning
So my baby boy has a 103.9 fever, is nausea, chest hurts and has a bad headache...going to hospital noe doctor
Top symptoms where hostIs a youth
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Instances of Hospitalization
Top Symptomson Instances ofHospitalization
Example hospitalization results regarding "flu"
Priscilla got admitted in the hospital last night with the flu. she just started drinking and eating again.So how bout my 4 year old cousin has swine flu and at the hospital my grandma fell down a bunch of stairs and got rushed to ER.Finished seeing a doctor at Samitivej Hospital for my Flu. nothing to worry. just normal flu.
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Instances of Positive/Negative Test
Flu Test Results
Example query results where testing for flu and test result is positive:
The Doctor just called us at 7:46 Pm to advise us that the test was positive, my son has Confirmed Swine Flu as well as pnuemonia
I had a flu test yesterday and it was positive, but he also said my throat and sinuses had an infection too.
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H1N1 Analysis
Where are we going with this?
• Utilize Hadoop for massive scalability• Pull down twitter data in real-time• Utilize time-series for predictive analytics• Mine location information from bio for particular hosts• Visualization, browsability and search provided by COTS tools that integrate with Lucene or OWL• Hunt for new corpora, new public health challenges
This is how the Big Four do Big Data (Google, Amazon, Yahoo, eBay)
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Twitter for Business | Washington DC | October 22, 2009
Official Network Sponsor
Twitter Business Tools
Attensity, TwAitter, TweetFeel Biz, PeopleBrowsr
• Eunice Zachry Hill, Director Civilian Agencies Sales, Attensity | @attensity
• Ryan Bell, President, TwAitter | @Twaitting
• Jean Davis, Co-founder, TweetFeel Biz | @JeanMarie50 | @conversition
• Jodee Rich, Marketing Team Leader, PeopleBrowsr | @wingdude | @PeopleBrowsr
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When Twitter Means Businesswhere you tweet
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What is TwAitter?
Twitter Business ToolsOne of the "5 Top Twitter Applications for Business Users"
Organized Tweeting
Team Workflow“
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Twitter for Business / Government
…Challenges
• Pulling a conversation from the noise
• Time management
• Controlling the message you send
• Listening
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Twitter for Business / GovernmentSolutions
• Twaitter– Team workflow– Saved searches and statistics– Scheduling– Grouping people you follow– Translation
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What are you Twaitting for?
Please stop by our table for more information and a demonstration
http://www.twAitter.com
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Twitter for Business | Washington DC | October 22, 2009
Official Network Sponsor
Twitter Business Tools
Attensity, TwAitter, TweetFeel Biz, PeopleBrowsr
• Eunice Zachry Hill, Director Civilian Agencies Sales, Attensity | @attensity
• Ryan Bell, President, TwAitter | @Twaitting
• Jean Davis, Co-founder, TweetFeel Biz | @JeanMarie50 | @conversition
• Jodee Rich, Marketing Team Leader, PeopleBrowsr | @wingdude | @PeopleBrowsr
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TweetFeel Biz monitors, trends and compares “Twitter” conversations about brands.
What is ?
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What makes Tweetfeel Biz different?
• Phrase-Level Sentiment Designed for Twitter
• Positively and Negatively Balanced
• No Data Puking
• YOU Create the Story
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@twtrcon#twtrcon
twtrcon.comstats.twtrcon.com