We are interested in the automatic extraction of sentiment and other areas of social meaning including politeness, bias, friendliness, flirtation, and romantic interest, from both speech and text.
Below is a selection of publications on extraction of sentiment and social meaning:
Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, and Christopher Potts. 2013. A computational approach to politeness with application to social factors. In Proceedings of ACL 2013. [pdf, bib; data and info]
Rajesh Ranganath, Dan Jurafsky, and Daniel A. McFarland. 2013. Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Computer Speech and Language. 27:1, 89-115. [pdf, bib]
Sida Wang and Christopher Manning. 2012. Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). [pdf, bib]
Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. 2011. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP). [pdf, bib; website]
Dan Jurafsky, Rajesh Ranganath, and Dan McFarland. 2009. Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. In Proceedings of the North American Association of Computational Linguistics (NAACL 2009). [pdf, bib]