Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

Blogs and social networks have recently become a valuable resource for mining sentiments
in fields as diverse as customer relationship management, public opinion tracking and text …

An important part of our information-gathering behavior has always been to find out what
other people think. With the growing availability and popularity of opinion-rich resources …

The Internet is frequently used as a medium for exchange of information and opinions, as
well as propaganda dissemination. In this study the use of sentiment analysis …

This work explores the utility of sentiment and arguing opinions for classifying stances in
ideological debates. In order to capture arguing opinions in ideological stance taking, we …

The sentiment detection of texts has been witnessed a booming interest in recent years, due
to the increased availability of online reviews in digital form and the ensuing need to …

We investigate whether one can determine from the transcripts of US Congressional floor
debates whether the speeches represent support of or opposition to proposed legislation. To …

As an emerging communication platform, Web 2.0 has led the Internet to become
increasingly user-centric. People are participating in and exchanging opinions through …

User‐generated content on the Web has become an extremely valuable source for mining
and analyzing user opinions on any topic. Recent years have seen an increasing body of …