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Volumn , Issue , 2012, Pages 234-241

Crossing media streams with sentiment: Domain adaptation in blogs, reviews and Twitter

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION MODELS; DOMAIN ADAPTATION; MULTIDIMENSIONAL DATA; SENTIMENT ANALYSIS; SINGLE SOURCE; TARGET SOURCE; TEXT ANALYSIS; TRAINING DATA;

EID: 84890586735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (21)
  • 3
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    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • Blitzer, J.; Dredze, M.; and Pereira, F. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. ACL 440-447.
    • (2007) ACL , pp. 440-447
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 5
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak
    • Chew, C., and Eysenbach, G. 2011. Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE 5(11).
    • (2011) PLoS ONE , vol.5 , pp. 11
    • Chew, C.1    Eysenbach, G.2
  • 7
    • 84890756124 scopus 로고    scopus 로고
    • Enhanced sentiment learning using twitter hashtags and smileys
    • Davidov, D.; O., T.; and Rappoport, A. 2010. Enhanced sentiment learning using twitter hashtags and smileys. COLING.
    • (2010) COLING
    • Davidov, D.1    Rappoport, A.2
  • 8
    • 50249088861 scopus 로고    scopus 로고
    • Using sentiwordnet for multilingual sentiment analysis
    • Denecke, K. 2008. Using sentiwordnet for multilingual sentiment analysis. Data Engineering Workshop, ICDEW 507-512.
    • (2008) Data Engineering Workshop, ICDEW , pp. 507-512
    • Denecke, K.1
  • 9
    • 84890650729 scopus 로고    scopus 로고
    • Building lexicon for sentiment analysis from massive collection of html documents building lexicon for sentiment analysis from massive collection of html documents
    • Kaji, N., and Kitsuregawa, M. 2007. Building lexicon for sentiment analysis from massive collection of html documents building lexicon for sentiment analysis from massive collection of html documents. EMNLP.
    • (2007) EMNLP
    • Kaji, N.1    Kitsuregawa, M.2
  • 12
    • 70350645448 scopus 로고    scopus 로고
    • Sentiment analysis of blogs by combining lexical knowledge with text classification
    • Melville, P.; Gryc, W.; and Lawrence, R. D. 2009. Sentiment analysis of blogs by combining lexical knowledge with text classification. KDD.
    • (2009) KDD
    • Melville, P.1    Gryc, W.2    Lawrence, R.D.3
  • 14
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up?: Sentiment classification using machine learning techniques
    • Pang, B., and Lee, L. 2002. Thumbs up?: sentiment classification using machine learning techniques. EMNLP 10:79-86.
    • (2002) EMNLP , vol.10 , pp. 79-86
    • Pang, B.1    Lee, L.2
  • 15
    • 77958531551 scopus 로고    scopus 로고
    • Cross-cultural analysis of blogs and forums with mixed-collection topic models
    • Paul, M., and Girju, R. 2009. Cross-cultural analysis of blogs and forums with mixed-collection topic models. EMNLP.
    • (2009) EMNLP
    • Paul, M.1    Girju, R.2
  • 17
    • 65449144451 scopus 로고    scopus 로고
    • Get another label? Improving data quality and data mining using multiple, noisy labelers
    • Sheng, V.; Provost, F.; and Ipeirotis, P. 2008. Get another label? improving data quality and data mining using multiple, noisy labelers. KDD.
    • (2008) KDD
    • Sheng, V.1    Provost, F.2    Ipeirotis, P.3
  • 18
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and fast - But is it good? Evaluating non-expert annotations for natural language tasks
    • Snow, R.; O'Connor, B.; Jurafsky, D.; and Ng, A. 2008. Cheap and fast - but is it good? evaluating non-expert annotations for natural language tasks. EMNLP.
    • (2008) EMNLP
    • Snow, R.1    O'connor, B.2    Jurafsky, D.3    Ng, A.4
  • 19
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    • Adapting naive bayes to domain adaptation for sentiment analysis
    • Tan, S.; Cheng, Z.; Wang, Y.; and Xu, H. 2009. Adapting naive bayes to domain adaptation for sentiment analysis. Advances in Information Retrieval 5478:337-349.
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    • Tan, S.1    Cheng, Z.2    Wang, Y.3    Xu, H.4
  • 21
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    • Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
    • Ye, Q.; Zhang, Z.; and Law, R. 2009. Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Systems with Applications 36:6527-6535.
    • (2009) Expert Systems with Applications , vol.36 , pp. 6527-6535
    • Ye, Q.1    Zhang, Z.2    Law, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.