A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
| dc.creator | Pang, Bo | |
| dc.creator | Lee, Lillian | |
| dc.date | 2004-09-29 | |
| dc.date.accessioned | 2026-07-07T03:21:49Z | |
| dc.date.available | 2026-07-07T03:21:49Z | |
| dc.description | 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. | |
| dc.description | Data available at http://www.cs.cornell.edu/people/pabo/movie-review-data/ | |
| dc.identifier | https://arxiv.org/abs/cs/0409058 | |
| dc.identifier | http://arxiv.org/abs/cs/0409058 | |
| dc.identifier | Proceedings of the 42nd ACL, pp. 271--278, 2004 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/32351 | |
| dc.subject | Computation and Language | |
| dc.subject | I.2.7 | |
| dc.title | A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts | |
| dc.type | text |