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Volumn , Issue , 2011, Pages 543-546

A proposed sentiment analysis tool for modern Arabic using human-based computing

Author keywords

Arabic language; human computation; natural language processing; opinion mining; sentiment analysis

Indexed keywords

ARABIC LANGUAGES; HUMAN COMPUTATION; NATURAL LANGUAGE PROCESSING; OPINION MINING; SENTIMENT ANALYSIS;

EID: 84856865333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2095536.2095651     Document Type: Conference Paper
Times cited : (35)

References (20)
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    • Abbasi, A., Chen, H. & Salem, A., 2008. Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums. ACM Transactions on Information Systems, 26(3).
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    • Abbasi, A.1    Chen, H.2    Salem, A.3
  • 2
    • 84869053245 scopus 로고    scopus 로고
    • Automatic Sentiment Analysis in Online Text
    • Conference on Electronic Publishing: Vienna, Austria
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    • Boiy, E.1
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  • 6
    • 79951739652 scopus 로고    scopus 로고
    • Mining Arabic Business Reviews
    • Los Alamitos, CA, USA: IEEE Computer Society
    • Elhawary, M. & Elfeky, M., 2010. Mining Arabic Business Reviews. In Data Mining Workshops, International Conference on. Los Alamitos, CA, USA: IEEE Computer Society, pp. 1108-1113.
    • (2010) Data Mining Workshops, International Conference on , pp. 1108-1113
    • Elhawary, M.1    Elfeky, M.2
  • 7
    • 33745209469 scopus 로고    scopus 로고
    • Pulse: Mining Customer Opinions from Free Text
    • A. F. Famili et al., eds. Berlin, Heidelberg: Springer Berlin Heidelberg, Available at
    • Gamon, M. et al., 2005. Pulse: Mining Customer Opinions from Free Text. In A. F. Famili et al., eds. Advances in Intelligent Data Analysis VI. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 121-132. Available at: http://www.springerlink.com/content/94q1nrhfc8a4e8tn/
    • (2005) Advances in Intelligent Data Analysis VI , pp. 121-132
    • Gamon, M.1
  • 12
    • 85107227165 scopus 로고    scopus 로고
    • Determining the sentiment of opinions
    • Stroudsburg, PA, USA: Association for Computational Linguistics, Available at
    • Kim, S.-M. & Hovy, E., 2004. Determining the sentiment of opinions. In Proceedings of the 20th international conference on Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, p. 1367. Available at: http://portal.acm.org/citation.cfm?id=1220555
    • (2004) Proceedings of the 20th International Conference on Computational Linguistics , pp. 1367
    • Kim, S.-M.1    Hovy, E.2
  • 18
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    • Measuring praise and criticism: Inference of semantic orientation from association
    • Turney, P.D. & Littman, M.L., 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21(4), pp.315-346.
    • (2003) ACM Transactions on Information Systems (TOIS) , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 20
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    • Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques
    • Yi, J. et al., 2003. Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques. In Third IEEE International Conference on Data Mining. pp. 427-434.
    • (2003) Third IEEE International Conference on Data Mining , pp. 427-434
    • Yi, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.