Detecting Opinions in Tweets
نویسندگان
چکیده
منابع مشابه
Detecting Opinions in Tweets
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 T...
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In this paper, we discuss a variety of issues related to opinion mining from microposts, and the challenges they impose on an NLP system, along with an example application we have developed to determine political leanings from a set of pre-election tweets. While there are a number of sentiment analysis tools available which summarise positive, negative and neutral tweets about a given keyword o...
متن کاملQuantising Opinions for Political Tweets Analysis
There have been increasing interests in recent years in analyzing tweet messages relevant to political events so as to understand public opinions towards certain political issues. We analyzed tweet messages crawled during the eight weeks leading to the UK General Election in May 2010 and found that activities at Twitter is not necessarily a good predictor of popularity of political parties. We ...
متن کاملA Dataset for Detecting Stance in Tweets
We can often detect from a person’s utterances whether he/she is in favor of or against a given target entity (a product, topic, another person, etc.). Here for the first time we present a dataset of tweets annotated for whether the tweeter is in favor of or against pre-chosen targets of interest—their stance. The targets of interest may or may not be referred to in the tweets, and they may or ...
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ژورنال
عنوان ژورنال: International Journal Of Data Mining And Emerging Technologies
سال: 2013
ISSN: 2249-3212,2249-3220
DOI: 10.5958/j.2249-3220.3.1.004