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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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Towards the Extraction of Customer-to-Customer Suggestions from Reviews., and . EMNLP, page 2159-2167. The Association for Computational Linguistics, (2015)A Study of Suggestions in Opinionated Texts and their Automatic Detection., , , and . *SEM@ACL, The *SEM 2016 Organizing Committee, (2016)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)Curse or Boon? Presence of Subjunctive Mood in Opinionated Text., and . IWCS, page 101-106. The Association for Computer Linguistics, (2015)MixedEmotions: An Open-Source Toolbox for Multi-Modal Emotion Analysis, , , , , , , , , and 1 other author(s). IEEE Transactions on Multimedia, (2018)INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis., and . SemEval@COLING, page 346-350. The Association for Computer Linguistics, (2014)UoM: Using Explicit Semantic Analysis for Classifying Sentiments., and . SemEval@NAACL-HLT, page 535-538. The Association for Computer Linguistics, (2013)SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums., , and . SemEval@NAACL-HLT, page 877-887. Association for Computational Linguistics, (2019)