Detecting Opinions in Tweets
Computation and Language
2014-02-21 v1 Social and Information Networks
Abstract
Given the incessant growth of documents describing the opinions of different people circulating on the web, including Web 2.0 has made it possible to give an opinion on any product in the net. In this paper, we examine the various opinions expressed in the tweets and classify them positive, negative or neutral by using the emoticons for the Bayesian method and adjectives and adverbs for the Turney's method
Cite
@article{arxiv.1402.5123,
title = {Detecting Opinions in Tweets},
author = {Abdelmalek Amine and Reda Mohamed Hamou and Michel Simonet},
journal= {arXiv preprint arXiv:1402.5123},
year = {2014}
}
Comments
13 pages, 2 figures