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Volumn , Issue , 2013, Pages 55-64

Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DATA MINING;

EID: 85110334718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (152)

References (23)
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  • 3
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  • 4
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    • Samar: A system for subjectivity and sentiment analysis of arabic social media
    • page 2012
    • Muhammad Abdul-Mageed, Sandra Kübler, and Mona Diab. 2012. Samar: A system for subjectivity and sentiment analysis of arabic social media. WASSA 2012, page 19, 2012.
    • (2012) WASSA 2012 , pp. 19
    • Abdul-Mageed, Muhammad1    Kübler, Sandra2    Diab, Mona3
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    • Second Generation Tools (AMIRA 2.0): Fast and Robust Tokenization, POS tagging, and Base Phrase Chunking
    • 2009
    • Mona Diab. 2009. Second Generation Tools (AMIRA 2.0): Fast and Robust Tokenization, POS tagging, and Base Phrase Chunking. In 2nd International Conference on Arabic Language Resources and Tools, 2009.
    • (2009) 2nd International Conference on Arabic Language Resources and Tools
    • Diab, Mona1
  • 12
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    • A Class-Based Agreement Model for Generating Accurately Inflected Translations
    • Spence Green and John DeNero. 2012. A Class-Based Agreement Model for Generating Accurately Inflected Translations. ACL 2012.
    • (2012) ACL 2012
    • Green, Spence1    DeNero, John2
  • 17
    • 84860511230 scopus 로고    scopus 로고
    • Learning multilingual subjective language via cross-lingual projections
    • page 2007
    • Rada Mihalcea, Carmen Banea, and Janyce Wiebe. 2007. Learning multilingual subjective language via cross-lingual projections. In ACL-2007, volume 45, page 976, 2007.
    • (2007) ACL-2007 , vol.45 , pp. 976
    • Mihalcea, Rada1    Banea, Carmen2    Wiebe, Janyce3
  • 18
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • 2010
    • Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In Proceedings of LREC, volume 2010, 2010.
    • (2010) Proceedings of LREC , vol.2010
    • Pak, Alexander1    Paroubek, Patrick2
  • 19
    • 34547617264 scopus 로고    scopus 로고
    • Creating subjective and objective sentence classifiers from unannotated texts
    • Janyce Wiebe and Ellen Riloff. 2005. Creating subjective and objective sentence classifiers from unannotated texts. In Proceedings of CICLing 2005.
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    • Wiebe, Janyce1    Riloff, Ellen2
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    • 2009
    • Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational linguistics, 35(3):399-433, 2009.
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    • Wilson, Theresa1    Wiebe, Janyce2    Hoffmann, Paul3
  • 22
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    • Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
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    • Hong Yu and Vasileios Hatzivassiloglou 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences In EMNLP-2003, pages 129-136. Association for Computational Linguistics.
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    • Yu, Hong1    Hatzivassiloglou, Vasileios2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.