Mutual sentiment

Revised Mutual Information Approach for German Text Sentiment Classificatio

The significant increase in content of online social media such as product reviews, blogs, forums etc., have led to an increasing attention to sentiment analysis tools and approaches that make use of mining this substantially growing content. The aim of this paper is to develop a robust classification approach of customer reviews based on a selfannotated domain-specific corpus by applying a sta...

MIEA: a Mutual Iterative Enhancement Approach for Cross-Domain Sentiment Classification

Recent years have witnessed a large body of research works on cross-domain sentiment classification problem, where most of the research endeavors were based on a supervised learning strategy which builds models from only the labeled documents or only the labeled sentiment words. Unfortunately, such kind of supervised learning method usually fails to uncover the full knowledge between documents ...

Investor Sentiment , Mutual Fund Flows and its Impact on Returns and Volatility

Purpose – This paper investigates the impact of individual investor sentiment on the return process and conditional volatility of three main US market indices (DJIA, S&P500 and Nasdaq100). Individual investor sentiment is measured by aggregate money flows in and out of domestically oriented US mutual funds. Design/Methodology/Approach – A GARCH-in-mean specification is used, where our measure f...

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...

Mutual Learning or Mutual Disappointment