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Volumn , Issue , 2009, Pages 2019-2023

Improving binary classification on text problems using differential word features

Author keywords

Sentiment analysis; Support vector machine; SVM; Text classification

Indexed keywords

BAG OF WORDS; BINARY CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; DOCUMENT FREQUENCY; INVERSE DOCUMENT FREQUENCY; N-GRAMS; SENTIMENT ANALYSIS; TEXT CLASSIFICATION; TRAINING CORPUS; TRAINING SETS;

EID: 74549222996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646291     Document Type: Conference Paper
Times cited : (27)

References (8)
  • 4
    • 0036161242 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
    • E. Leopold and J. Kindermann. Text Categorization with Support Vector Machines. How to Represent Texts in Input Space? Machine Learning, 46(1):423-444, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 423-444
    • Leopold, E.1    Kindermann, J.2
  • 7
    • 74549171348 scopus 로고    scopus 로고
    • B. Pang, L. Lee, and S. Vaithyanathan. Thumbs up? sentiment classification using machine learning techniques. In Proc. of the Conf. on Empirical Methods in Natural Language Processing, pp. 79{86, July 2002.
    • B. Pang, L. Lee, and S. Vaithyanathan. Thumbs up? sentiment classification using machine learning techniques. In Proc. of the Conf. on Empirical Methods in Natural Language Processing, pp. 79{86, July 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.