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

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

2004-09-29

arxiv.org/abs/cs/0409058v1

Proceedings of the 42nd ACL, pp. 271--278, 2004

Computer Science

Computation and Language

Data available at http://www.cs.cornell.edu/people/pabo/movie-review-data/

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-593266