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A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts

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Lillian LeeAuthors Info & Claims

ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Pages 271 - es

https://doi.org/10.3115/1218955.1218990

Published: 21 July 2004 Publication History

Abstract

Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down". To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just the subjective portions of the document. Extracting these portions can be implemented using efficient techniques for finding minimum cuts in graphs; this greatly facilitates incorporation of cross-sentence contextual constraints.

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Published In

cover image DL Hosted proceedings

ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

July 2004

729 pages

General Chair:
Donia Scott
ITRI, University of Brighton

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Association for Computational Linguistics

United States

Publication History

Published: 21 July 2004

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Overall Acceptance Rate 85 of 443 submissions, 19%

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https://dl.acm.org/doi/10.5555/3692070.3694436
Panigrahi AMalladi SXia MArora SSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)Trainable transformer in transformerProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3693668(39448-39492)Online publication date: 21-Jul-2024
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