The Journal of Machine Learning Research
"I know what you did last summer": query logs and user privacy
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
What you seek is what you get: extraction of class attributes from query logs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Stochastic gradient boosted distributed decision trees
Proceedings of the 18th ACM conference on Information and knowledge management
The demographics of web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Unsupervised modeling of Twitter conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Recognizing stances in ideological on-line debates
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Inferring gender of movie reviewers: exploiting writing style, content and metadata
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Classifying latent user attributes in twitter
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
An architecture for parallel topic models
Proceedings of the VLDB Endowment
Robust sentiment detection on Twitter from biased and noisy data
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Investigating topic models for social media user recommendation
Proceedings of the 20th international conference companion on World wide web
Mining social networks for significant friend groups
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
Mining web query logs to analyze political issues
Proceedings of the 3rd Annual ACM Web Science Conference
Automatic humor classification on Twitter
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
French presidential elections: what are the most efficient measures for tweets?
Proceedings of the first edition workshop on Politics, elections and data
Predicting emerging social conventions in online social networks
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the sixth ACM international conference on Web search and data mining
What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Personal User or Organizational User? Behavior on Microblog can Tell
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
Voices of victory: a computational focus group framework for tracking opinion shift in real time
Proceedings of the 22nd international conference on World Wide Web
Using explicit linguistic expressions of preference in social media to predict voting behavior
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Steeler nation, 12th man, and boo birds: classifying Twitter user interests using time series
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Politics, sharing and emotion in microblogs
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Secular vs. Islamist polarization in Egypt on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
What is he/she like?: estimating Twitter user attributes from contents and social neighbors
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Identifying user attributes through non-i.i.d. multi-instance learning
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
PLEAD 2013: politics, elections and data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Proceedings of the 7th ACM international conference on Web search and data mining
User profiling in an ego network: co-profiling attributes and relationships
Proceedings of the 23rd international conference on World wide web
A statistical approach to mining customers' conversational data from social media
IBM Journal of Research and Development
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More and more technologies are taking advantage of the explosion of social media (Web search, content recommendation services, marketing, ad targeting, etc.). This paper focuses on the problem of automatically constructing user profiles, which can significantly benefit such technologies. We describe a general and robust machine learning framework for large-scale classification of social media users according to dimensions of interest. We report encouraging experimental results on 3 tasks with different characteristics: political affiliation detection, ethnicity identification and detecting affinity for a particular business.