Twitter® is a microblogging service usually used as an instant communication platform. The
capacity to provide information in real time has stimulated many companies to use this …

Sentiment Analysis encompasses the use of Natural Language Processing together with
statistics and machine learning methods for the identification, extraction and characterization …

Microblogging such as Twitter provides a rich source of information about products,
personalities, and trends, etc. We proposed a simple methodology for analyzing sentiment of …

Twitter has become a very popular communication tool among Internet users, allowing 500
millions of users to share opinions in 140 characters on different aspects of their life every …

The World Wide Web has intensely evolved a novel way for people to express their views
and opinions about different topics, trends and issues. The user-generated content present …

In this paper we present a novel approach to Twitter Sentiment Analysis. The approach
adopted is to analyse the lexicon features of the tweets for classifying its sentiment (positive …

This paper deals with the study of existing sentiment analysis methods, as well as
development and implementation of methods for sentiment analysis of Twitter messages …

Sentiment analysis deals with identifying and classifying opinions or sentiments expressed
in source text. Social media is generating a vast amount of sentiment rich data in the form of …

In this paper, we present a system for scalable and real-time sentiment analysis of Twitter
data. The proposed system relies on feature extraction from tweets, using both …

Microblog, especially Twitter, have become an integral part of our daily life, where millions of
user sharing their thoughts daily because of its short length characteristics and simple …