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Volumn 2, Issue , 2013, Pages 375-379

TJP: Using twitter to analyze the polarity of contexts

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION;

EID: 84978285609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (12)
  • 1
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Stanford
    • Alec Go, Richa Bhayani and Lei Huang. 2009. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, 1-12.
    • (2009) CS224N Project Report , pp. 1-12
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 2
    • 67649544244 scopus 로고    scopus 로고
    • Classification accuracy performance of Naive Bayesian (NB), Bayesian Networks (BN), Lazy Learning of Bayesian Rules (LBR) and Instance-Based Learner (IB1) - Comparative study
    • Paper
    • Ayse Cufoglu, Mahi Lohi and Kambiz Madani. 2008. Classification accuracy performance of Naive Bayesian (NB), Bayesian Networks (BN), Lazy Learning of Bayesian Rules (LBR) and Instance-Based Learner (IB1) - comparative study. Paper presented at the Computer Engineering & Systems, 2008. ICCES 2008. International Conference on.
    • (2008) The Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
    • Cufoglu, A.1    Lohi, M.2    Madani, K.3
  • 5
    • 67349180708 scopus 로고    scopus 로고
    • A survey on sentiment detection of reviews
    • Huifeng Tang, Songbo Tan and Xueqi Cheng. 2009. A survey on sentiment detection of reviews. Expert Systems with Applications, 36(7), 10760-10773.
    • (2009) Expert Systems with Applications , vol.36 , Issue.7 , pp. 10760-10773
    • Tang, H.1    Tan, S.2    Cheng, X.3
  • 6
    • 84859916751 scopus 로고    scopus 로고
    • Using emoticons to reduce dependency in machine learning techniques for sentiment classification
    • Paper Ann Arbor, Michigan
    • Jonathon. Read. 2005. Using emoticons to reduce dependency in machine learning techniques for sentiment classification. Paper presented at the Proceedings of the ACL Student Research Workshop, Ann Arbor, Michigan.
    • (2005) Proceedings of The ACL Student Research Workshop
    • Read, J.1
  • 7
  • 10
    • 48449095896 scopus 로고    scopus 로고
    • Opinion Mining and Sentiment Analysis
    • Pang Bo and Lillian Lee. 2008. Opinion Mining and Sentiment Analysis. Found. Trends Inf. Retr., 2(1-2), 1-135.
    • (2008) Found. Trends Inf. Retr. , vol.2 , Issue.1-2 , pp. 1-135
    • Bo, P.1    Lee, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.