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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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Network-based distributional semantic models. Technical University of Crete, Greece, (2013)National Archive of PhD Theses: oai:10442/29846.Feeling is Understanding: From Affective to Semantic Spaces., and . IWCS, page 162-172. The Association for Computer Linguistics, (2015)Semantic Similarity Computation for Abstract and Concrete Nouns Using Network-based Distributional Semantic Models., , , and . IWCS, page 328-334. The Association for Computer Linguistics, (2013)Audio salient event detection and summarization using audio and text modalities., , , and . EUSIPCO, page 2311-2315. IEEE, (2015)Spoken dialogue grammar induction from crowdsourced data., , , and . ICASSP, page 3211-3215. IEEE, (2014)The SpeDial datasets: datasets for Spoken Dialogue Systems analytics., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Unsupervised Semantic Similarity Computation usingWeb Search Engines., and . Web Intelligence, page 381-387. IEEE Computer Society, (2007)Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings., , , , and . INTERSPEECH, page 3658-3662. ISCA, (2016)Web data harvesting for speech understanding grammar induction., , , , and . INTERSPEECH, page 2733-2737. ISCA, (2013)Identity Discovery in Bitcoin Blockchain: Leveraging Transactions Metadata via Supervised Learning., , , and . ICVISP, page 30:1-30:6. ACM, (2019)