Sentiment Analysis Using Text Mining: A Review
نویسندگان
چکیده
منابع مشابه
Sentiment analysis methods in Sentiment analysis methods in Persian text: A survey
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique meth...
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In Sentiment analysis we use natural language processing and information to extracting writer’s comments or reviews. In this paper we use Data text mining and hybrid approach of KNN Algorithm and Naïve Bayes Algorithm to find the sentiments of Indian people on Tweeter.
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We argue in this paper that in order to properly capture opinion and sentiment expressed in texts or dialogs any system needs a deep linguistic processing approach. As in other systems, we used ontology matching and concept search, based on standard lexical resources, but a natural language understanding system is still required to spot fundamental and pervasive linguistic phenomena. We impleme...
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Text messages express the state of minds from a large population on earth. From the perspective of decision makers, this collection of messages provides a precious source of information. In this paper, we present the use of Weka data mining tools to extract useful information for classifying sentiment of tweets collected from Twitter. The results of tweet mining are represented as decision tree...
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ژورنال
عنوان ژورنال: International Journal on Data Science and Technology
سال: 2018
ISSN: 2472-2200
DOI: 10.11648/j.ijdst.20180402.12