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Volumn , Issue , 2015, Pages 767-777

Sentiment after translation: A case-study on Arabic social media posts

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SENTIMENT ANALYSIS; SOCIAL NETWORKING (ONLINE);

EID: 84958171534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1078     Document Type: Conference Paper
Times cited : (149)

References (41)
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    • Massih-Reza Amini and Cyril Goutte. 2010. A coclassification approach to learning from multilingual corpora. Machine learning, 79(1-2):105-121.
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    • Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis
    • Alexandra Balahur and Marco Turchi. 2014. Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis. Computer Speech & Language, 28(1):56-75.
    • (2014) Computer Speech & Language , vol.28 , Issue.1 , pp. 56-75
    • Balahur, A.1    Turchi, M.2
  • 15
    • 84857794634 scopus 로고    scopus 로고
    • Orthographic and morphological processing for English-Arabic statistical machine translation
    • March
    • Ahmed El Kholy and Nizar Habash. 2012. Orthographic and morphological processing for English-Arabic statistical machine translation. Machine Translation, 26(1-2):25-45, March.
    • (2012) Machine Translation , vol.26 , Issue.1-2 , pp. 25-45
    • El Kholy, A.1    Habash, N.2
  • 18
    • 80052801287 scopus 로고    scopus 로고
    • MADA+TOKAN: A toolkit for Arabic tokenization, diacritization, morphological disambiguation, POS tagging, stemming and lemmatization
    • Cairo, Egypt, April. The MEDAR Consortium
    • Nizar Habash, Owen Rambow, and Ryan Roth. 2009. MADA+TOKAN: A toolkit for Arabic tokenization, diacritization, morphological disambiguation, POS tagging, stemming and lemmatization. In Proceedings of the 2nd International Conference on Arabic Language Resources and Tools, pages 102-109, Cairo, Egypt, April. The MEDAR Consortium.
    • (2009) Proceedings of the 2nd International Conference on Arabic Language Resources and Tools , pp. 102-109
    • Habash, N.1    Rambow, O.2    Roth, R.3
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    • 84881408290 scopus 로고    scopus 로고
    • Crowdsourcing a word-emotion association lexicon
    • Saif M. Mohammad and Peter D. Turney. 2013. Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3):436-465.
    • (2013) Computational Intelligence , vol.29 , Issue.3 , pp. 436-465
    • Mohammad, S.M.1    Turney, P.D.2
  • 30
    • 79957484079 scopus 로고    scopus 로고
    • Affect analysis model: Novel rulebased approach to affect sensing from text
    • Alena Neviarouskaya, Helmut Prendinger, and Mitsuru Ishizuka. 2011. Affect analysis model: novel rulebased approach to affect sensing from text. Natural Language Engineering, 17:95-135, 1.
    • (2011) Natural Language Engineering , vol.17 , Issue.95-135 , pp. 1
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    • Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis
    • Stroudsburg, PA, USA. Association for Computational Linguistics
    • Xiaojun Wan. 2008. Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pages 553-561, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2008) Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08 , pp. 553-561
    • Wan, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.