메뉴 건너뛰기




Volumn , Issue , 2012, Pages 50-57

Extracting diverse sentiment expressions with target-dependent polarity from Twitter

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC EXTRACTION; BASELINE METHODS; CONSTRAINED OPTIMI-ZATION PROBLEMS; LEXICAL PATTERNS; NEWS ARTICLES; PRODUCT REVIEWS; SYNTACTIC PATTERNS; TWO DOMAINS;

EID: 84877248159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (71)

References (25)
  • 1
    • 84891611578 scopus 로고    scopus 로고
    • Contextual phrase-level polarity analysis using lexical affect scoring and syntactic N-grams
    • Agarwal, A.; Biadsy, F.; and Mckeown, K. R. 2009. Contextual phrase-level polarity analysis using lexical affect scoring and syntactic N-grams. In Proc. of EACL.
    • (2009) Proc. of EACL
    • Agarwal, A.1    Biadsy, F.2    McKeown, K.R.3
  • 2
    • 80053225960 scopus 로고    scopus 로고
    • Robust sentiment detection on Twitter from biased and noisy data
    • Barbosa, L., and Feng, J. 2010. Robust sentiment detection on Twitter from biased and noisy data. In Proc. of COLING.
    • (2010) Proc. of COLING
    • Barbosa, L.1    Feng, J.2
  • 3
    • 78651286606 scopus 로고    scopus 로고
    • Classifying sentiment in microblogs: Is brevity an advantage?
    • Bermingham, A., and Smeaton, A. 2010. Classifying sentiment in microblogs: is brevity an advantage?. In Proc. of CIKM.
    • (2010) Proc. of CIKM
    • Bermingham, A.1    Smeaton, A.2
  • 6
    • 84890573267 scopus 로고    scopus 로고
    • Domain-specific sentiment analysis using contextual feature generation
    • Choi, Y.; Kim, Y; and Myaeng, S. 2009. Domain-specific sentiment analysis using contextual feature generation. In Proc. of TSA.
    • (2009) Proc. of TSA
    • Choi, Y.1    Kim, Y.2    Myaeng, S.3
  • 7
    • 84952634756 scopus 로고    scopus 로고
    • Enhanced sentiment learning using Twitter hashtags and smileys
    • Davidov, D.; Tsur, O.; and Rappoport, A. 2010. Enhanced sentiment learning using Twitter hashtags and smileys. In Proc. of COLING.
    • (2010) Proc. of COLING
    • Davidov, D.1    Tsur, O.2    Rappoport, A.3
  • 8
  • 10
    • 12244305149 scopus 로고    scopus 로고
    • Mining and summarizing customer reviews
    • Hu, M., and Liu, B. 2004. Mining and summarizing customer reviews. In Proc. of SIGKDD.
    • (2004) Proc. of SIGKDD
    • Hu, M.1    Liu, B.2
  • 12
    • 80053381476 scopus 로고    scopus 로고
    • Fully automatic lexicon expansion for domain-oriented sentiment analysis
    • Kanayama, H., and Nasukawa, T. 2006. Fully automatic lexicon expansion for domain-oriented sentiment analysis. In Proc. of EMNLP.
    • (2006) Proc. of EMNLP
    • Kanayama, H.1    Nasukawa, T.2
  • 13
    • 79960225191 scopus 로고    scopus 로고
    • Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
    • Kessler, J. S., and Nicolov, N. 2009. Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations. In Proc. of ICWSM.
    • (2009) Proc. of ICWSM
    • Kessler, J.S.1    Nicolov, N.2
  • 14
    • 84865063573 scopus 로고    scopus 로고
    • Twitter sentiment analysis: The good the bad and the OMG!
    • Kouloumpis, E.; Wilson, T.; and Moore, J. 2010. Twitter sentiment analysis: the good the bad and the OMG! In Proc. of ICWSM.
    • (2010) Proc. of ICWSM
    • Kouloumpis, E.1    Wilson, T.2    Moore, J.3
  • 15
    • 83655166226 scopus 로고    scopus 로고
    • Automatic construction of a context-aware sentiment lexicon: An optimization approach
    • Lu, Y.; Castellanos, M.; Dayal, U.; and Zhai, C. 2011. Automatic construction of a context-aware sentiment lexicon: an optimization approach. In Proc. of WWW.
    • (2011) Proc. of WWW
    • Lu, Y.1    Castellanos, M.2    Dayal, U.3    Zhai, C.4
  • 18
    • 85077250533 scopus 로고    scopus 로고
    • Generate adjective sentiment dictionary for social media sentiment analysis using constrained nonnegative matrix factorization
    • Peng,W., and Park, D. H. 2011. Generate Adjective Sentiment Dictionary for Social Media Sentiment Analysis Using Constrained Nonnegative Matrix Factorization. In Proc. of ICWSM.
    • (2011) Proc. of ICWSM
    • Peng, W.1    Park, D.H.2
  • 19
    • 78751699461 scopus 로고    scopus 로고
    • Expanding domain sentiment lexicon through double propagation
    • Qiu, G.; Liu, B.; Bu, J.; and Chen, C. 2009. Expanding domain sentiment lexicon through double propagation. In Proc. of IJCAI.
    • (2009) Proc. of IJCAI
    • Qiu, G.1    Liu, B.2    Bu, J.3    Chen, C.4
  • 20
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • Turney, P. D. 2002. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proc. of ACL.
    • (2002) Proc. of ACL
    • Turney, P.D.1
  • 22
    • 80053247760 scopus 로고    scopus 로고
    • Recognizing contextual polarity in phrase-level sentiment analysis
    • Wilson, T.; Wiebe, J.; and Hoffmann, P. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proc. of HLT/EMNLP.
    • (2005) Proc. of HLT/EMNLP
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3
  • 23
    • 80053429155 scopus 로고    scopus 로고
    • Supervised and unsupervised methods in employing discourse relations for improving opinion polarity classification
    • Somasundaran, S.; Namata, G.;Wiebe, J.; and Getoor, L. 2009. Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. In Proc. of EMNLP.
    • (2009) Proc. of EMNLP
    • Somasundaran, S.1    Namata, G.2    Wiebe, J.3    Getoor, L.4
  • 24
    • 29344473560 scopus 로고    scopus 로고
    • Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques
    • Yi, J.; Nasukawa, T.; Bunescu, R.; and Niblack, W. 2003. Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques. In Proc. of ICDM.
    • (2003) Proc. of ICDM
    • Yi, J.1    Nasukawa, T.2    Bunescu, R.3    Niblack, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.