Sara Rosenthal
Abstract
Knowing who's influential can help when planning political campaigns, advertising strategies, or even combating terrorism; and now research into influence detection promises to automate such detection.
- Cialdini, R. B. Influence: The Psychology of Persuasion (Collins Business Essentials). Harper Paperbacks, 2007.Google Scholar
- Rosenthal, S. and McKeown, K. 2013. Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, GA, June 2013). Association for Computational Linguistics, 2013, 478--482.Google Scholar
- Rosenthal, S. and McKeown, K. Detecting Opinionated Claims in Online Discussions. In Proceedings of the 2012 IEEE Sixth International Conference on Semantic Computing Special Session on Semantics and Sociolinguistics in Social Media (ICSC '12). IEEE Computer Society, 2012. Google ScholarDigital Library
- Biran, O. and Rambow, O. 2011. Identifying Justifications in Written Dialogs. In Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing (ICSC '11). IEEE Computer Society, Washington, DC, 2011, 162--168. Google ScholarDigital Library
- Rosenthal, S. and McKeown, K. Age Prediction in Blogs: A study of style, content, and online behavior in pre- and post-social media generations. In Proceedings of ACL-HLT. 2011. Google ScholarDigital Library
- Biran, O., Rosenthal, S., Andreas, J., McKeown, K., and Rambow, O. 2012. Detecting Influencers in Written Online Conversations. In Proceedings of the Language in Social Media 2012 Workshop, Montreal, June. Google ScholarDigital Library
Index Terms
- Detecting influencers in social media discussions
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