SENTIMENT ANALYSIS AND PREDICATION MODEL

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...

Predication 1 Predication

Using a Generative Model for Sentiment Analysis

This paper presents a generative model based on the language modeling approach for sentiment analysis. By characterizing the semantic orientation of documents as “favorable” (positive) or “unfavorable” (negative), this method captures the subtle information needed in text retrieval. In order to conduct this research, a language model based method is proposed to keep the dependent link between a...

Clustered Model Adaption for Personalized Sentiment Analysis

We propose to capture humans’ variable and idiosyncratic sentiment via building personalized sentiment classification models at a group level. Our solution roots in the social comparison theory that humans tend to form groups with others of similar minds and ability, and the cognitive consistency theory that mutual influence inside groups will eventually shape group norms and attitudes, with wh...

A Sentiment Analysis Model of Spanish Tweets

What people say on social media has turned into a rich source of information to understand social behavior. Sentiment analysis of Twitter data has been widely used to capture trends in public opinion regarding important events such as political elections. However, current research in social media analysis in political domains faces two major problems, namely: sentiment analysis methods implemen...