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Customer Opinion Summarization Based on Twitter Conversations., , and . WIMS, page 4:1-4:10. ACM, (2016)Towards Using Public Conversations to Mine Product Features in Twitter., , and . AICCSA, page 966-972. IEEE Computer Society, (2017)Using Social Conversational Context For Detecting Users Interactions on Microblogging Sites., , and . EGC, volume E-28 of Revue des Nouvelles Technologies de l'Information, page 389-394. Hermann-Éditions, (2015)User-Tweet Interaction Model and Social Users Interactions for Tweet Contextualization., , and . ICCCI (1), volume 9329 of Lecture Notes in Computer Science, page 144-157. Springer, (2015)WINECLOUD: Une ontologie d'événements pour la modélisation sémantique des données de capteurs hétérogènes., , , , , and . EGC, volume E-35 of RNTI, page 379-380. Éditions RNTI, (2019)Extracting Product Features for Opinion Mining Using Public Conversations in Twitter., , and . KES, volume 112 of Procedia Computer Science, page 927-935. Elsevier, (2017)Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs., , and . AISI, volume 407 of Advances in Intelligent Systems and Computing, page 335-346. Springer, (2015)Illumination3.0: A Semantic Annotation Platform Based on Ontology for Medieval Illuminations., , , and . IC, page 231-234. (2019)Nouvelle approche anaphorique pour le résumé automatique des textes d'opinions dans les tweets., , and . Ingénierie des Systèmes d Inf., 22 (6): 37-51 (2017)Social Users Interactions Detection Based on Conversational Aspects., , and . New Trends in Intelligent Information and Database Systems, volume 598 of Studies in Computational Intelligence, Springer, (2015)