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Collecting and analyzing depression notes using IBM social media analytics.

, and . CASCON, page 271-273. IBM / ACM, (2015)

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Location detection and disambiguation from twitter messages., , , , and . J. Intell. Inf. Syst., 49 (2): 237-253 (2017)Prior and contextual emotion of words in sentential context., , and . Comput. Speech Lang., 28 (1): 76-92 (2014)Prior versus Contextual Emotion of a Word in a Sentence., , and . WASSA@ACL, page 70-78. The Association for Computer Linguistics, (2012)Collecting and analyzing depression notes using IBM social media analytics., and . CASCON, page 271-273. IBM / ACM, (2015)Detecting Emotion Stimuli in Emotion-Bearing Sentences., , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 152-165. Springer, (2015)Detecting and Disambiguating Locations Mentioned in Twitter Messages., , , , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 321-332. Springer, (2015)Development of an Enterprise-Grade Contract Understanding System., , , , , , , , , and 10 other author(s). NAACL-HLT (Industry Papers), page 222-229. Association for Computational Linguistics, (2021)Hierarchical Approach to Emotion Recognition and Classification in Texts., , and . Canadian AI, volume 6085 of Lecture Notes in Computer Science, page 40-50. Springer, (2010)