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United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods., , , , and . LREC, European Language Resources Association, (2010)Predicting Sales Trends., , and . Sequences in Language and Text, volume 69 of Quantitative Linguistics, DeGruyter, (2015)Sentiment Analysis of Figurative Language using a Word Sense Disambiguation Approach., , , and . RANLP, page 370-375. RANLP 2009 Organising Committee / ACL, (2009)Sentiment analysis of metaphorical language. University of the Aegean, Greece, (2012)National Archive of PhD Theses: oai:10442/30144.A Collaborative System for Sentiment Analysis., , , , and . SETN, volume 6040 of Lecture Notes in Computer Science, page 411-416. Springer, (2010)Heuristic Disambiguation of Deverbal Nominals in Greek, and . Human Language Technologies as a Challenge for Computer Science and Linguistics: Proceedings of 3rd Language & Technology Conference, 5--7 October 2007, Poznań, Poland, page 335--9. (2007)Investigating Metaphorical Language in Sentiment Analysis: A Sense-to-Sentiment Perspective., , , and . ACM Trans. Speech Lang. Process., 9 (3): 6:1-6:31 (2012)iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine, , , , , , , , , and 7 other author(s). 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019, Cordoba, Spain, June 5-7, 2019, page 106--111. (2019)Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis., , , , , , and . CogInfoCom, page 33-38. IEEE, (2017)iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine., , , , , , , , , and 7 other author(s). CBMS, page 106-111. IEEE, (2019)