Improving a Method for Quantifying Readers’ Impressions of News Articles with a Regression Equation

Tadahiko Kumamoto, Yukiko Kawai, Katsumi Tanaka


Anthology ID:
W11-1711
Volume:
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)
Month:
June
Year:
2011
Address:
Portland, Oregon
Editors:
Alexandra Balahur, Ester Boldrini, Andres Montoyo, Patricio Martinez-Barco
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
87–95
Language:
URL:
https://aclanthology.org/W11-1711
DOI:
Bibkey:
Cite (ACL):
Tadahiko Kumamoto, Yukiko Kawai, and Katsumi Tanaka. 2011. Improving a Method for Quantifying Readers’ Impressions of News Articles with a Regression Equation. In Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011), pages 87–95, Portland, Oregon. Association for Computational Linguistics.
Cite (Informal):
Improving a Method for Quantifying Readers’ Impressions of News Articles with a Regression Equation (Kumamoto et al., WASSA 2011)
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PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/W11-1711.pdf