Sentiment analysis seeks to identif

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
t hat 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.