Social Networking sites have become popular and common places for sharing wide range of
emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc …

To find out what other people think has been an essential part of information-gathering
behaviors. And in the case of movies, the movie reviews can provide an intricate insight into …

Since the dawn of internet, e-shopping vendors like Amazon have grown in popularity.
Customers express their opinion or sentiment by giving feedbacks in the form of text …

As humans' opinions help enhance products efficiency, and since the success or the failure
of a movie depends on its reviews, there is an increase in the demand and need to build a …

Sentiment analysis systems pursuit the goal of detecting emotions in a given text with
machine learning approaches. These texts might include three kinds of emotions such as …

Sentiment analysis is the area which deals with judgments, responses as well as feelings,
which is generated from texts, being extensively used in fields like data mining, web mining …

Abstract The Internet Movie Database (IMDb), being one of the popular online databases for
movies and personalities, provides a wide range of movie reviews from millions of users …

With the huge expansion of text data sentiment analysis is playing a crucial role in analyzing
the user's perspective about a particular product, company or any other physical or virtual …

Sentiment analysis is the study, to classify the text based on customer reviews which can
provide valuable information to improve business. Previously the analysis was carried out …

Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …