Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification

Yoon Kim, Owen Zhang


Anthology ID:
W14-2614
Volume:
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Alexandra Balahur, Erik van der Goot, Ralf Steinberger, Andres Montoyo
Venue:
WASSA
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
79–83
Language:
URL:
https://aclanthology.org/W14-2614
DOI:
10.3115/v1/W14-2614
Bibkey:
Cite (ACL):
Yoon Kim and Owen Zhang. 2014. Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification. In Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 79–83, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification (Kim & Zhang, WASSA 2014)
Copy Citation:
PDF:
https://aclanthology.org/W14-2614.pdf
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