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Volumn , Issue , 2016, Pages 86-93

Which configuration works best? an experimental study on supervised Arabic twitter sentiment analysis

Author keywords

Arabic Tweets; Sentiment Analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA MINING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; LINGUISTICS; SOCIAL NETWORKING (ONLINE); SODIUM; SUPERVISED LEARNING;

EID: 84969802534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACLing.2015.19     Document Type: Conference Paper
Times cited : (17)

References (16)
  • 2
    • 85038601237 scopus 로고    scopus 로고
    • Sentiment analysis and opinion mining, synthesis
    • B. Liu, "Sentiment Analysis and Opinion Mining, Synthesis", Lectures on Human Language Technologies, " vol. 5, no. 1, 2012, pp. 1-167.
    • (2012) Lectures on Human Language Technologies , vol.5 , Issue.1 , pp. 1-167
    • Liu, B.1
  • 9
    • 84969810108 scopus 로고    scopus 로고
    • No bad feelings: Distant supervision helps subjectivity but not sentiment analysis of Arabic twitter feeds
    • London, UK
    • E. Refaee and V. Rieser, "No Bad Feelings : Distant Supervision Helps Subjectivity but not Sentiment Analysis of Arabic Twitter Feeds," Proceedings of the 8th Saudi Scientific Conference, London, UK, 2015, pp. 2-18.
    • (2015) Proceedings of the 8th Saudi Scientific Conference , pp. 2-18
    • Refaee, E.1    Rieser, V.2
  • 15
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley, "Term-weighting Approaches in Automatic Text Retrieval," Inf. Process. Manag., vol. 24, no. 5, pp. 513-523, 1988.
    • (1988) Inf. Process. Manag. , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.