메뉴 건너뛰기




Volumn 8506 LNCS, Issue , 2014, Pages 98-109

Sentiment analysis on twitter through topic-based lexicon expansion

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE);

EID: 84904192791     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-08608-8_9     Document Type: Conference Paper
Times cited : (25)

References (22)
  • 1
    • 85034054192 scopus 로고    scopus 로고
    • SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
    • Baccianella, S., et al.: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In: LREC (2010)
    • (2010) LREC
    • Baccianella, S.1
  • 2
    • 84952663679 scopus 로고    scopus 로고
    • AVAYA: Sentiment analysis on twitter with self-training and polarity lexicon expansion
    • Becker, L., et al.: AVAYA: Sentiment analysis on twitter with self-training and polarity lexicon expansion. In: SemEval (2013)
    • (2013) SemEval
    • Becker, L.1
  • 3
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • Blitzer, J., et al.: Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In: ACL (2007)
    • (2007) ACL
    • Blitzer, J.1
  • 5
    • 78649880690 scopus 로고    scopus 로고
    • Adapting a polarity lexicon using integer linear programming for domain-specific sentiment classification
    • Choi, Y., Cardie, C.: Adapting a polarity lexicon using integer linear programming for domain-specific sentiment classification. In: EMNLP (2009)
    • (2009) EMNLP
    • Choi, Y.1    Cardie, C.2
  • 6
    • 80053291743 scopus 로고    scopus 로고
    • Enhanced sentiment learning using twitter hashtags and smileys
    • Davidov, D., et al.: Enhanced sentiment learning using twitter hashtags and smileys. In: Coling 2010 (2010)
    • (2010) Coling 2010
    • Davidov, D.1
  • 7
    • 71149104871 scopus 로고    scopus 로고
    • Deep transfer via second-order markov logic
    • Davis, J., Domingos, P.: Deep transfer via second-order markov logic. In: ICML (2009)
    • (2009) ICML
    • Davis, J.1    Domingos, P.2
  • 8
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Go, A., et al.: Twitter sentiment classification using distant supervision. In: CS224N Project Report, Stanford (2009)
    • (2009) CS224N Project Report, Stanford
    • Go, A.1
  • 9
    • 85167446249 scopus 로고    scopus 로고
    • Emoticon smoothed language models for twitter sentiment analysis
    • Liu, K.L., et al.: Emoticon smoothed language models for twitter sentiment analysis. In: AAAI (2012)
    • (2012) AAAI
    • Liu, K.L.1
  • 10
    • 84871050961 scopus 로고    scopus 로고
    • Overview of the trec-2011 microblog track
    • Ounis, I., et al.: Overview of the trec-2011 microblog track. In: TREC 2011 (2011)
    • (2011) TREC 2011
    • Ounis, I.1
  • 11
    • 84919651291 scopus 로고    scopus 로고
    • Improved part-of-speech tagging for online conversational text with word clusters
    • Owoputi, O., et al.: Improved part-of-speech tagging for online conversational text with word clusters. In: Proceedings of NAACL-HLT (2013)
    • (2013) Proceedings of NAACL-HLT
    • Owoputi, O.1
  • 12
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: LREC (2010)
    • (2010) LREC
    • Pak, A.1    Paroubek, P.2
  • 13
    • 70350654194 scopus 로고    scopus 로고
    • Transfer learning via dimensionality reduction
    • Pan, S.J., et al.: Transfer learning via dimensionality reduction. In: AAAI (2008)
    • (2008) AAAI
    • Pan, S.J.1
  • 14
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up?: Sentiment classification using machine learning techniques
    • Pang, B., et al.: Thumbs up?: sentiment classification using machine learning techniques. In: EMNLP (2002)
    • (2002) EMNLP
    • Pang, B.1
  • 16
    • 79958257877 scopus 로고    scopus 로고
    • Lexicon-based methods for sentiment analysis
    • Taboada, M., et al.: Lexicon-based methods for sentiment analysis. Computational linguistics (2011)
    • (2011) Computational Linguistics
    • Taboada, M.1
  • 17
    • 84880302858 scopus 로고    scopus 로고
    • Topic-based sentiment analysis for the social web: The role of mood and issue-related words
    • Thelwall, M., Buckley, K.: Topic-based sentiment analysis for the social web: The role of mood and issue-related words. JASIST (2013)
    • (2013) JASIST
    • Thelwall, M.1    Buckley, K.2
  • 18
    • 83655167217 scopus 로고    scopus 로고
    • Sentiment strength detection for the social web
    • Thelwall, M., et al.: Sentiment strength detection for the social web. JASIST (2012)
    • (2012) JASIST
    • Thelwall, M.1
  • 19
    • 84867436370 scopus 로고    scopus 로고
    • Sentiment strength detection in short informal text
    • Thelwall, M., et al.: Sentiment strength detection in short informal text. JASIST (2010)
    • (2010) JASIST
    • Thelwall, M.1
  • 20
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
    • Turney, P.D.: Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: ACL (2002)
    • (2002) ACL
    • Turney, P.D.1
  • 21
    • 84862814947 scopus 로고    scopus 로고
    • Sentiment detection with auxiliary data
    • Zhang, D., et al.: Sentiment detection with auxiliary data. Information retrieval (2012)
    • (2012) Information Retrieval
    • Zhang, D.1
  • 22
    • 84862692437 scopus 로고    scopus 로고
    • Combining lexiconbased and learning-based methods for twitter sentiment analysis
    • Zhang, L., et al.: Combining lexiconbased and learning-based methods for twitter sentiment analysis. HP Laboratories, Technical Report HPL-2011 (2011)
    • (2011) HP Laboratories, Technical Report HPL-2011
    • Zhang, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.