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Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions.

, , , and . EMNLP, page 4405-4414. Association for Computational Linguistics, (2018)

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Unsupervised word sense disambiguation with N-gram features., and . Artif. Intell. Rev., 41 (2): 241-260 (2014)The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions., , , , , and . EMNLP, page 1167-1172. Association for Computational Linguistics, (2018)Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection., , , and . LREC, European Language Resources Association (ELRA), (2016)Where's @wally?: a classification approach to geolocating users based on their social ties., , , and . HT, page 11-20. ACM, (2013)The role of personality, age, and gender in tweeting about mental illness., , , , , , , and . CLPsych@HLT-NAACL, page 21-30. The Association for Computational Linguistics, (2015)Studying Personality through the Content of Posted and Liked Images on Twitter., , , , , and . WebSci, page 223-227. ACM, (2017)User-Level Race and Ethnicity Predictors from Twitter Text., and . COLING, page 1534-1545. Association for Computational Linguistics, (2018)A temporal model of text periodicities using Gaussian Processes., and . EMNLP, page 977-988. ACL, (2013)Discovering User Attribute Stylistic Differences via Paraphrasing., , and . AAAI, page 3030-3037. AAAI Press, (2016)Automatically Identifying Complaints in Social Media., , and . ACL (1), page 5008-5019. Association for Computational Linguistics, (2019)