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Volumn 40, Issue 3, 2014, Pages 398-410

Aara' - A system for mining the polarity of Saudi public opinion through e-newspaper comments

Author keywords

Arabic NLP; Colloquial Arabic; Naive Bayes; Public sentiment; Revised n gram

Indexed keywords

NEWSPRINT;

EID: 84902174351     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551514524675     Document Type: Article
Times cited : (33)

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    • Social networks' text mining for sentiment classification: The case of facebook' statuses updates in the 'arabic spring' era
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    • (2013) International Journal Application or Innovation in Engineering and Management , vol.2 , Issue.5 , pp. 470-478
    • Hamouda, S.B.1    Akaichi, J.2
  • 17
    • 84868564977 scopus 로고    scopus 로고
    • Sentiment network analysis of taleban and rfe/rl open-source content about afganistan
    • doi: 10.1109/EISIC.2012.54
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.