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"Don't discuss": Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification.

, , and . RANLP, page 1498-1507. INCOMA Ltd., (2021)

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"Don't discuss": Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification., , and . RANLP, page 1498-1507. INCOMA Ltd., (2021)Fine grained classification of polarized and propagandist text in news articles and political debates. (Classification fine de textes polarisés et de propagande issus d'articles d'actualité et de débats politiques).. University of Côte d'Azur, Nice, France, (2021)Identifying Significant Customer Opinion Information of Each Aspect from Hotel Reviews., , , and . JCSSE, page 1-6. IEEE, (2022)Sentence-Level Sentiment Analysis for Student Feedback Relevant to Teaching Process Assessment., , , and . MIWAI, volume 13651 of Lecture Notes in Computer Science, page 156-168. Springer, (2022)Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts., , , and . COLING, page 219-224. International Committee on Computational Linguistics, (2020)Fallacious Argument Classification in Political Debates., , , , and . IJCAI, page 4143-4149. ijcai.org, (2022)PROTECT - A Pipeline for Propaganda Detection and Classification., , and . CLiC-it, volume 3033 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Clickbait Detection Based on Word Embedding Models., , and . IMIS, volume 773 of Advances in Intelligent Systems and Computing, page 557-564. Springer, (2018)