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An Empirical Evaluation of Arabic-Specific Embeddings for Sentiment Analysis.

, , , , and . ICALP, volume 1108 of Communications in Computer and Information Science, page 34-48. Springer, (2019)

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Plongements lexicaux spécifiques à la langue arabe : application à l'analyse d'opinions (Arabic-specific embedddings : application in Sentiment Analysis)., , , , and . PFIA (Articles courts), page 381-390. ATALA, (2019)Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis., , , , and . LREC, page 4955-4963. European Language Resources Association, (2020)Arabic Sentiment Analysis: An Empirical Study of Machine Translation's Impact., , , , and . LPKM, volume 2279 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)An Empirical Evaluation of Arabic-Specific Embeddings for Sentiment Analysis., , , , and . ICALP, volume 1108 of Communications in Computer and Information Science, page 34-48. Springer, (2019)Une approche neuronale pour l'analyse d'opinions en arabe. (Neural approach for Arabic sentiment analysis).. University of Sfax, Tunisia, (2020)Document Embeddings for Arabic Sentiment Analysis., , , and . LPKM, volume 1988 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Evaluation of weakly-supervised methods for aspect extraction., , , and . KES, volume 207 of Procedia Computer Science, page 2688-2697. Elsevier, (2022)Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)., , and . CORIA-TALN-RJC (TALN 2), page 215-224. ATALA, (2018)Citation Context Classification: Critical vs Non-critical., , , , , and . SDP@COLING, page 49-53. Association for Computational Linguistics, (2022)