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Automatic Polarity Identification on Twitter Using Machine Learning.

, , , , and . FTC (3), volume 561 of Lecture Notes in Networks and Systems, page 499-507. Springer, (2022)

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Automatic Polarity Identification on Twitter Using Machine Learning., , , , and . FTC (3), volume 561 of Lecture Notes in Networks and Systems, page 499-507. Springer, (2022)Classification of opinions in cross domains involving emotive values., , , , and . J. Intell. Fuzzy Syst., 36 (5): 4877-4887 (2019)A Classification Model with Corpus Enrichment for Toponym Disambiguation., , , , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 472-480. Springer, (2012)Análisis e identificación de locuciones verbales mexicanas.. Res. Comput. Sci., 148 (10): 35-45 (2019)LIPN-UAM at EmoInt-2017: Combination of Lexicon-based features and Sentence-level Vector Representations for Emotion Intensity Determination., and . WASSA@EMNLP, page 255-258. Association for Computational Linguistics, (2017)Evaluating Polarity for Verbal Phraseological Units., , and . MICAI (1), volume 8856 of Lecture Notes in Computer Science, page 191-200. Springer, (2014)Identifying the polarity of a text given the emotion of its author., , , and . J. Intell. Fuzzy Syst., 42 (5): 4709-4717 (2022)LIPN: Introducing a new Geographical Context Similarity Measure and a Statistical Similarity Measure based on the Bhattacharyya coefficient., , , , and . SemEval@COLING, page 400-405. The Association for Computer Linguistics, (2014)Compositionality versus non-compositionality verification based on lexical domain for verbal phraseological units., , and . J. Intell. Fuzzy Syst., 34 (5): 3059-3067 (2018)Análisis de la diversidad morfosintáctica en las locuciones verbales.. Res. Comput. Sci., (2015)