Semantic Scholar Open Access 2004 4165 sitasi

A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

B. Pang Lillian Lee

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Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (2)

B. Pang

Lillian Lee

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APA MLA BibTeX

Pang, B., Lee, L. (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. https://doi.org/10.3115/1218955.1218990

Akses Cepat

Lihat di Sumber doi.org/10.3115/1218955.1218990

Informasi Jurnal

Tahun Terbit: 2004
Bahasa: en
Total Sitasi: 4165×
Sumber Database: Semantic Scholar
DOI: 10.3115/1218955.1218990
Akses: Open Access ✓