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Volumn 2, Issue , 2013, Pages 495-500

IITB-Sentiment-analysts: Participation in sentiment analysis in twitter SemEval 2013 task

Author keywords

[No Author keywords available]

Indexed keywords

INDUSTRIAL PLANTS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 84921743180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (18)
  • 1
    • 48449088989 scopus 로고    scopus 로고
    • Sentiment Analysis: A New Approach for Effective Use of Linguistic Knowledge and Exploiting Similarities in a Set of Documents to be classified
    • IIT Kanpur, India, December
    • A Agarwal and Pushpak Bhattacharyya. 2005. Sentiment Analysis: A New Approach for Effective Use of Linguistic Knowledge and Exploiting Similarities in a Set of Documents to be classified. International Conference on Natural Language Processing (ICON 05), IIT Kanpur, India, December
    • (2005) International Conference on Natural Language Processing (ICON 05)
    • Agarwal, A.1    Bhattacharyya, P.2
  • 4
    • 12244305149 scopus 로고    scopus 로고
    • Mining and summarizing customer reviews
    • In
    • Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proc. of ACM SIGKDD.
    • (2004) Proc. of ACM SIGKDD
    • Hu, M.1    Liu, B.2
  • 6
    • 84961480199 scopus 로고
    • Rhetorical Structure Theory: Toward a functional theory of text organization
    • William C. Mann and Sandra A. Thompson. Rhetorical Structure Theory: Toward a functional theory of text organization. Text, 8 (3), 243-281. 1988
    • (1988) Text , vol.8 , Issue.3 , pp. 243-281
    • Mann, W.C.1    Thompson, S.A.2
  • 10
    • 85118762314 scopus 로고    scopus 로고
    • Sentence level discourse parsing using syntactic and lexical information
    • In
    • R Soricut and D Marcu. 2003. Sentence level discourse parsing using syntactic and lexical information. In Proc. of HLT-NAACL
    • (2003) Proc. of HLT-NAACL
    • Soricut, R.1    Marcu, D.2
  • 12
    • 84876796672 scopus 로고    scopus 로고
    • Sentiment Analysis in Twitter with Lightweight Discourse Analysis
    • In
    • Subhabrata Mukherjee and Pushpak Bhattacharyya. 2012. Sentiment Analysis in Twitter with Lightweight Discourse Analysis. In Proceedings of COLING 2012
    • (2012) Proceedings of COLING 2012
    • Mukherjee, S.1    Bhattacharyya, P.2
  • 16
    • 84857724450 scopus 로고    scopus 로고
    • Classification of discourse coherence relations: An exploratory study using multiple knowledge sources
    • In
    • B Wellner, J Pustejovski, A Havasi, A Rumshiskym and R Suair. 2006. Classification of discourse coherence relations: An exploratory study using multiple knowledge sources. In Proc. of SIGDIAL
    • (2006) Proc. of SIGDIAL
    • Wellner, B.1    Pustejovski, J.2    Havasi, A.3    Rumshiskym, A.4    Suair, R.5
  • 17
    • 33646406015 scopus 로고    scopus 로고
    • Representing Discourse Coherence: A Corpus-based Study
    • )
    • F Wolf and E Gibson. 2005. Representing Discourse Coherence: A Corpus-based Study. Computational Linguistics, 31(2), pp. 249-287.
    • (2005) Computational Linguistics , vol.31 , Issue.2 , pp. 249-287
    • Wolf, F.1    Gibson, E.2
  • 18
    • 80053239308 scopus 로고    scopus 로고
    • Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities
    • In
    • Lanjun Zhou, Binyang Li, Wei Gao, Zhongyu Wei and Kam-Fai Wong. 2011. Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities. In Proceedings of EMNLP.
    • (2011) Proceedings of EMNLP
    • Zhou, L.1    Li, B.2    Gao, W.3    Wei, Z.4    Wong, K.-F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.