Social Media Dataset
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Social Media DataSetUPV, Aplicaciones de la Lingüística Computacional
Abril 22nd, 2010
http://www.slideshare.com/jccortizo
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José Carlos CortizoTwitter: @josek_net
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Goal
‣ Understand the possibilities of Social Media for Research
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Index‣ About the Speaker
‣ Research at UEM
‣ SGP, Wipley, BrainSins
‣ Social Media statistics
‣ Social Media as research field
‣ Applications
‣ Academic research vs Enterprise
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José Carlos Cortizo
2004 2005 2006 2007 2008 2009 2010
consultancy
NLP, DM
10 R&P projects, 4 workshops, 20 papers
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My Company
SGPVideogamers Social Network
2.600 reg. users, ~10K monthly users
SaaS software for SM & e-CRecSys, Social Search...
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SGP Funding
• €350K from CDTI (PID project)
• €100K from FFF
• still looking for extra €100K from BA
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Web 2.0 vs.Social Web
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What’s Web 2.0?
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An evolution (of) and (based on) the Web...
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...focused on usershttp://www.flickr.com/photos/cayusa/431036565
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Concept introduced by “Tim O’Reilly” in 2004
http://www.flickr.com/photos/thomashawk/153656919/
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Users own the Information
They should manage the information
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It’s not a technology, it’s a philosophical
concept
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Wikis (and Wikipedia), blogs, etc.
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Evolution of the Web
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Concepts
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AJAX
•Web development techniques empowering Web 2.0
•Much developers misunderstand the concept of Web 2.0 and think about AJAX
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Social Web
• Describe how people socialize with each othe throughout the WWW
• 2 descriptions
•Web 2.0
• Proposal for a future network similar to WWW
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Social Media
•Media designed to be disseminated through Social interaction
• Internet forums, blogs, microblogging, wikis, podcasts, social networks, etc.
•More info: http://www.slideshare.net/jccortizo/taller-redes-sociales-presentation
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Social Media Statistics
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Facebook stats.
• > 400M. active users
• 50% log in to FB in any given day
• > 35M u. update their status each day
• > 60M. status updates per day
• 3 billion photos uploaded each month
• 5 billion contents shared each week
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Facebook stats.
• Avg. user has 130 friends on FB
• Avg. user sends 8 friend req. per month
• Avg. user spends > 55 min. per day
• > 70% FB users are outside USA
• > 500K applications
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Facebook stats.
• > 60M FB users use FB Connect on external websites
• > 100M accessing FB though mobile
• > 200 mobile operators in 60 cuntries deploying/promoting FB mobile products
http://www.facebook.com/press/info.php?statistics
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Twitter stats.
• > 105M. registered users
• 300K users sign up every day
• > 180M. unique visitors per month
• 75% traffic come from 3rd party apps.
• > 600M search queries on Twitter/day
• 37% of active users use mobile
http://www.readwriteweb.com/archives/just_the_facts_statistics_from_twitter_chirp.php
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Facts
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SM is the New Web
• Facebook traffic tops Google (for USA)
• FB > 7% of US traffic
•March 2010
• http://money.cnn.com/2010/03/16/technology/facebook_most_visited/
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SM envisioning the Future
•Mobile Web
• Search
• Real-time search
• Social search
•Online identity
http://www.madrimasd.org/blogs/sistemas_inteligentes/2009/01/19/111413
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Mobile Web
•No real mobile web until Social Media
• 25% FB users and 37% Twitter users accesing from mobile devices
• Trend: more mobile web users than “regular” ones within the next 5 years [1]
[1] J. C. Cortizo, L. I. Diaz, F. Carrero, B. Monsalve, “On the Future of Mobile Phones as the Heart of Community Built Databases” to appear in 2011
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Real-Time Search
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Social Search
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Online Identity•User identity is a real business
• Facebook Connect, OAuth, OpenID...
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Social Media as Research Field
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We need Data
•We need data to validate our research
•Why use “non-real”/small/”non-relevant”/old-fashioned datasets
•UCI
• Reuters
• ...
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SM, Huge DataSet
• Billions users
• Billions contents
• Textual, Multimedia (image, videos, etc.)
• Billions of connections
• Behaviors, preferences, trends...
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SM Openness
• It’s easy to get data from SM
• SM based datasets
• Developers APIS
• Spidering the Web
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Available DataSets
• Social Tagging (CiteULike, Bibsonomy, MovieLens, Delicious, Flickr, Last.FM...)
• http://kmi.tugraz.at/staff/markus/datasets/
• Yahoo! Firehose (750K ratings/day, 8K reviews/day, 150K comments/day, status updates, Flickr, Delicious...)
• http://developer.yahoo.net/blog/archives/2010/04/yahoo_updates_firehose.html
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Available DataSets
•MySpace data (real-time data, multimedia content, ...)
• http://blog.infochimps.org/2010/03/12/announcing-bulk-redistribution-of-myspace-data/
• Spinn3r Blog Dataset/JDPA Sentiment Corpus
• http://www.icwsm.org/data/
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...and more
• http://delicious.com/pskomoroch/dataset
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Key Benefits
• There’s a lot of data on SM
• It’s fun!
• You can work on a real-real domain
• ¿Make (real) money with your research?
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Where to publish?
• ICSWM: AAAI Conference on Weblogs and Social Media
•MSM/SMUC: Workshop on Search and Mining User generated Contents
•WWW: 4 Social Networks sessions + other 15 S.M. related papers
• ACM RecSys + Social Web workshop
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Where to publish?
• ICSWM: AAAI Conference on Weblogs and Social Media
•MSM/SMUC: Workshop on Search and Mining User generated Contents
•WWW: 4 Social Networks sessions + other 15 S.M. related papers
• ACM RecSys + Social Web workshop
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Where to publish?
• Any other ‘typical’ conference from your research area
• Social web/search/mining/networks analysis workshops on almost any relevant conference
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Other Research Uses
Twitter Lists
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Other Research Uses
Twitter Searches
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Other Research Uses
Twitter Users
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Other Research Uses
Blogs!
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Other Research Uses
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Other Research Uses
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• Don’t wait ‘till the conferences to know about advances
• Follow interesting researchers through Twitter and their blogs
• Peer-reviewing sucks!
• You can learn even more from failed attempts, or work in progress
•Open your mind...
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Some Applications
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Buzzer: Twitter RecSys
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Buzzer
•O. Phelan (@phelo), K. McCarthy, B. Smith, “Using Twitter to Recommend Real-Time Topical News”, ACM RecSys 2009
•Goal: News Recommendation
•Not using Reuters or similar datasets
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Buzzer
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Buzzer
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Why use Twitter?
• “Typical” news sites are boring
• You’ll get compared to Google News
• You’re innovating just by use Twitter
• You’ll benefit from Twitter hype
• You get a real and interesting system to deploy on real conditions
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FlickrBabel: Multilingual multimedia search
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Machine Translation
• An open problem
• But actual state-of-the-art enough for some applications
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Idea
• Do we need a Spanish Metamap?
• F. Carrero, J. C. Cortizo, J. M. Gomez, M. de Buenaga “In the Development of a Spanish Metamap”, CIKM 2008
• F. Carrero, J. C. Cortizo, J. M. Gomez, “Testing Concept Indexing in Crosslingual Medical Text Classification”, ICDIM 2008
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Idea
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Idea
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Idea
• Results show that using Google Translate is just enough for “simulating” a Spanish Metamap
• for classification purposes
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Extending to SM
•We applied the same idea to FlickrBabel
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Extending to SM
•We applied the same idea to FlickrBabel
• Search images from Flickr
• Babxel also searchs on YouTube
• Expands the query and improves the recall
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FlickrBabel
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FlickrBabel
•We got a lot of buzz/users from
•Mashable
• Loogic
•WwwhatsNew
• And thousand more blogs/sites
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evri: entity based search engine (+ API)
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evri
•Not a typical search engine
• Real-time
• Semantic
• Entity recognition
•Opinion Mining
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Offers a great API
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What’s good
• They integrate a lot of technologies from the state-of-the-art on NLP/IR into something usable
• The API can be used to develop evri based products and applications
• If you have a good technology, build a good product/service around it
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Entity recognition
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Recommendations
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Sentiment Analysis
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No good enough?
• There isn’t “no good enough” technologies
• There are useful or not useful products/services
• Show your technology to the world, they’d be the best ‘reviewers’
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Academic vs Enterprise
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· Too idealist· ‘Fantasy?’ world· Too many assumptions· Research· Guided by public funds· Non-applicable
Too pragmatic ·‘Real?’ world ·
Too little assumptions ·‘Innovate’ ·
Guided by revenues ·Cuts innovation ·
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· Too idealist· ‘Fantasy?’ world· Too many assumptions· Research· Guided by public funds· Non-applicable
Too pragmatic ·‘Real?’ world ·
Too little assumptions ·‘Innovate’ ·
Guided by revenues ·Cuts innovation ·
There’s a lot ofopportunitiesin the middle!!
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Entrepreneurship: the Research Way
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• Choose a real world problem (take care of data availability, competitors and utility)
• Develop a great technology
• Test in a lab environment and publish
• Develop a prototype and grant access to beta testers
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• Analyze the new results
• Write a (presentation based) business plan
• Get money from FFF
• Develop your product (out of beta)
• Get some clients/users
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• Write a full business plan
• You can get help from your University/other institutions
• Get more funding from BA’s and VC’s
• Hire the best coders/employees you can get
• Monetize your product/service
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• And don’t stop researching and innovating
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José Carlos Cortizo PérezBY, 2010