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 …

In this paper, we investigate the emotion classification of web blog corpora using support
vector machine (SVM) and conditional random field (CRF) machine learning techniques …

In product reviews, it is observed that the distribution of polarity ratings over reviews written
by different users or evaluated based on different products are often skewed in the real …

While there has been growing interest in the field of sentiment analysis for different text
genres in the past few years, relatively less emphasis has been placed on extraction of …

Abstract Microblog Sentiment Classification (MSC) is a challenging task in microblog mining,
arising in many applications such as stock price prediction and crisis management …

One of the central challenges in sentimentbased text categorization is that not every portion
of a document is equally informative for inferring the overall sentiment of the document …

The recent turmoil in the financial markets has demonstrated the growing need for
automated information monitoring tools that can help to identify the issues and patterns that …

One of the core tasks in Opinion Mining consists of estimating the polarity of the opinionated
documents found. In some scenarios (eg blogs), this estimation is severely affected by …

The digital universe is expanding at very high rates. New ways of retrieving and enriching
text and audio content are required. In this work, a methodology for actor level emotion …

Online social networks (OSNs) have become a major platform for people to obtain
information and to interact with their friends. People tend to post their thoughts and activities …