In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …

With the growth in sociality and interaction around online news media, news sites are
increasingly becoming places for communities to discuss and address common issues …

Opinion Mining is a process of automatic extraction of knowledge from the opinion of others
about some particular topic or problem. The idea of Opinion mining and Sentiment Analysis …

Purpose–The purpose of this paper is to discuss sentiment search, which not only retrieves
data related to submitted keywords but also identifies sentiment opinion implied in the …

Traditional approaches to sentiment classification rely on lexical features, syntax-based
features or a combination of the two. We propose semantic features using word senses for a …

Automatically tracking attitudes, feelings and reactions in on-line forums, blogs and news is
a desirable instrument to support statistical analyses by companies, the government, and …

The new trend in sentiment classification is to use semantic features for representation of
documents. We propose a semantic space based on WordNet senses for a supervised …

In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …

This article describes an automated technique that allows to differentiate texts expressing a
positive or a negative opinion. The basic principle is based on the observation that positive …

This paper presents a study on a hybrid machine learning technique that classifies
sentiment of sentences by recognizing patterns and usage of words. The system uses …