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Volumn , Issue , 2016, Pages 474-480

ILab-Edinburgh at SemEval-2016 task 7: A hybrid approach for determining sentiment intensity of Arabic Twitter phrases

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS; SEMANTICS; SENTIMENT ANALYSIS; SUPERVISED LEARNING;

EID: 85035133412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1077     Document Type: Conference Paper
Times cited : (27)

References (31)
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    • SentiWord-Net: A publicly available lexical resource for opinion mining
    • Andrea Esuli and Fabrizio Sebastiani. 2006. SentiWord-Net: A publicly available lexical resource for opinion mining. In Proceedings of LREC, volume 6, pages 417-422.
    • (2006) Proceedings of LREC , vol.6 , pp. 417-422
    • Esuli, A.1    Sebastiani, F.2
  • 15
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Alec Go, Richa Bhayani, and Lei Huang. 2009. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, pages 1-12.
    • (2009) CS224N Project Report, Stanford , pp. 1-12
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 16
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    • Morphological analysis and disambiguation for dialectal Arabic
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    • (2013) HLT-NAACL , pp. 426-432
    • Habash, N.1    Roth, R.2    Rambow, O.3    Eskander, R.4    Tomeh, N.5
  • 21
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    • Subjectivity and sentiment analysis of Modern Standard Arabic and Arabic microblogs
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  • 29
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    • A simple and generic belief tracking mechanism for the dialog state tracking challenge: On the believability of observed information
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.