Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
485059 | Procedia Computer Science | 2015 | 7 Pages |
Abstract
Sentiment Analysis is an area of study within Natural Language Processing that is concerned with identifying the mood or opinion of subjective elements within a text. This paper focuses on the various methods used for classifying a given piece of natural language text according to the opinions expressed in it i.e. whether the general attitude is negative or positive. We also discuss the two-step method (aspect classification followed by polarity classification) that we followed along with the experimental setup.
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