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Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter.

, , and . SemEval@NAACL-HLT, page 568-573. The Association for Computer Linguistics, (2015)

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Supervised Term Weighting Metrics for Sentiment Analysis in Short Text., , and . CoRR, (2016)Sentiment Lexicon-Based Features for Sentiment Analysis in Short Text., , and . Res. Comput. Sci., (2015)Supervised Methods for Aspect-Based Sentiment Analysis., , and . SemEval@COLING, page 596-600. The Association for Computer Linguistics, (2014)The Impact of Z_score on Twitter Sentiment Analysis., , and . SemEval@COLING, page 636-641. The Association for Computer Linguistics, (2014)Sentiment Analysis in Scholarly Book Reviews., , and . CoRR, (2016)Graph Centrality Measures for Boosting Popularity-Based Entity Linking., and . CoRR, (2017)Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis., , and . SemEval@NAACL-HLT, page 753-758. The Association for Computer Linguistics, (2015)Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter., , and . SemEval@NAACL-HLT, page 568-573. The Association for Computer Linguistics, (2015)Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging., , and . SemEval@NAACL-HLT, page 455-459. The Association for Computer Linguistics, (2013)SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter.. SemEval@NAACL-HLT, page 190-197. The Association for Computer Linguistics, (2016)