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UoM: Using Explicit Semantic Analysis for Classifying Sentiments.

, and . SemEval@NAACL-HLT, page 535-538. The Association for Computer Linguistics, (2013)

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Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources, , , , , , , and . (2014)Curse or Boon? Presence of Subjunctive Mood in Opinionated Text., and . IWCS, page 101-106. The Association for Computer Linguistics, (2015)A Study of Suggestions in Opinionated Texts and their Automatic Detection., , , and . *SEM@ACL, The *SEM 2016 Organizing Committee, (2016)Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain., , and . ECONLP@ACL, page 49-54. Association for Computational Linguistics, (2018)Open Domain Suggestion Mining: Problem Definition and Datasets., , and . CoRR, (2018)Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings., and . CoRR, (2017)Suggestion Mining from Opinionated Text.. ACL (Student Research Workshop), page 119-125. Association for Computational Linguistics, (2016)Towards the Extraction of Customer-to-Customer Suggestions from Reviews., and . EMNLP, page 2159-2167. The Association for Computational Linguistics, (2015)MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis., , , , , , , , , and 16 other author(s). IEEE Trans. Multim., 20 (9): 2454-2465 (2018)SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums., , and . SemEval@NAACL-HLT, page 877-887. Association for Computational Linguistics, (2019)