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Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter.

, , , , , , , , , and . SemEval@ACL, page 675-682. Association for Computational Linguistics, (2017)

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Kernel Models for Affective Lexicon Creation., , , and . INTERSPEECH, page 2977-2980. ISCA, (2011)tucSage: Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection., , , , and . SemEval@COLING, page 668-672. The Association for Computer Linguistics, (2014)Word Semantic Similarity for Morphologically Rich Languages., , and . LREC, page 1642-1648. European Language Resources Association (ELRA), (2014)Affective Lexicon Creation for the Greek Language., , , and . LREC, European Language Resources Association (ELRA), (2016)Valence, arousal and dominance estimation for English, German, Greek, Portuguese and Spanish lexica using semantic models., , , and . INTERSPEECH, page 1527-1531. ISCA, (2015)Fusion of knowledge-based and data-driven approaches to grammar induction., , , , , , and . INTERSPEECH, page 288-292. ISCA, (2014)To Chain or Not to Chain? A Case from Energy Sector., , , and . EMCIS, volume 341 of Lecture Notes in Business Information Processing, page 31-37. Springer, (2018)Crossmodal Network-Based Distributional Semantic Models., and . LREC, European Language Resources Association (ELRA), (2016)SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks., and . LREC, page 3499-3504. European Language Resources Association (ELRA), (2012)Unsupervised Semantic Similarity Computation between Terms Using Web Documents., and . IEEE Trans. Knowl. Data Eng., 22 (11): 1637-1647 (2010)