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DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles.

, , , and . SemEval@ACL, page 861-865. Association for Computational Linguistics, (2017)

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Suggesting Points-of-Interest via Content-Based, Collaborative, and Hybrid Fusion Methods in Mobile Devices., and . ACM Trans. Inf. Syst., 36 (3): 23:1-23:28 (2018)Seagrass detection in the mediterranean: A supervised learning approach., , and . Ecol. Informatics, (2018)A Fuzzy Rank-Based Late Fusion Method for Image Retrieval., , , and . MMM, volume 7131 of Lecture Notes in Computer Science, page 463-472. Springer, (2012)The TREC files: the (ground) truth is out there., , and . SIGIR, page 1289-1290. ACM, (2011)DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets., , , and . SemEval@NAACL-HLT, page 466-469. Association for Computational Linguistics, (2018)DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?, , and . SemEval@ACL/IJCNLP, page 1125-1129. Association for Computational Linguistics, (2021)DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis., , , and . SemEval@ACL, page 704-708. Association for Computational Linguistics, (2017)A Half-Life Decaying Model for Recommender Systems with Matrix Factorization., and . TDDL/MDQual/Futurity@TPDL, volume 2038 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Deriving a Domain Specific Test Collection from a Query Log., , , and . LaTeCH@ACL 2007, page 73-80. Association for Computational Linguistics, (2007)DUTH at TREC 2015 Clinical Decision Support Track., , , and . TREC, volume 500-319 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2015)