Parliamentary and legislative debate transcripts provide access to information concerning
the opinions, positions, and policy preferences of elected politicians. They attract attention …

The paper gives an overview of the different sentiment classification approaches and tools
used for sentiment analysis. Starting from this overview the paper provides a classification of …

Sentiment analysis is concerned with the automatic extraction of sentiment‐related
information from text. Although most sentiment analysis addresses commercial tasks, such …

A huge number of informal messages are posted every day in social network sites, blogs,
and discussion forums. Emotions seem to be frequently important in these texts for …

The use of robo‐readers to analyze news texts is an emerging technology trend in
computational finance. Recent research has developed sophisticated financial polarity …

Determining the stance expressed in a post written for a two-sided debate in an online
debate forum is a relatively new and challenging problem in opinion mining. We seek to …

Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …

Public debate functions as a forum for both expressing and forming opinions, an important
aspect of public life. We present results for automatically classifying posts in online debate …

Online debate forums present a valuable opportunity for the understanding and modeling of
dialogue. To understand these debates, a key challenge is inferring the stances of the …

With the prevalence of social media and online forum, opinion mining, aiming at analyzing
and discovering the latent opinion in user-generated reviews on the Internet, has become a …