Article ID Journal Published Year Pages File Type
485059 Procedia Computer Science 2015 7 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)