Library
. Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253. 
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(2.21 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23. (1.18 MB)
(1.18 MB). Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017. (710.53 KB)
(710.53 KB). Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392. (280.79 KB)
(280.79 KB). Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012. (220.53 KB)
(220.53 KB). Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010. (98.05 KB)
(98.05 KB). An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains. In IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium. Miami Florida; 2012. (1.3 MB)
(1.3 MB). What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation. In Web Science; 2010. 
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(0 bytes). YouRank: Let User Engagement Rank Microblog Search Results. In 8th International AAAI Conference on Weblogs and Social Media . Ann Arbor, MI; 2014. (716.37 KB)
(716.37 KB). Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592. (156.44 KB)
(156.44 KB). Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612. (367.25 KB)
(367.25 KB). Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145. (234.32 KB)
(234.32 KB). Automatic Domain Model Creation Using Pattern-Based Fact Extraction. 2010. (1022.87 KB)
(1022.87 KB). Beyond Positive/Negative Classification: Automatic Extraction of Sentiment Clues from Microblogs. 2011.
. Twitris: Socially Influenced Browsing. 2009. (309.37 KB)
(309.37 KB). Automatic Emotion Identification from Text. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 138. (679.48 KB)
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