Emotions are important in communication to effectively convey messages and to understand
reactions to messages. Large scale studies of communication need methods to detect …

Modern service enterprises are challenged by a strong competition and dynamically
changing business environments. Consequently, the precision of the business requirements …

Online content providers, such as news portals and social media platforms, constantly seek
new ways to attract large shares of online attention by kee** their users engaged. A …

Sentiment strength detection is an essential task in sentiment analysis, wherein the
sentiment strength of subjective text is automatically determined. Sentiment analysis has …

Lexicon-based sentiment analysis (SA) aims to address the problem of extracting people's
opinions from their comments on the Web using a predefined lexicon of opinionated words …

Sentiment analysis (SA) is a subfield of natural language processing and data mining which
concerns the problem of extracting useful information from users' comments on the Web …

We analyze the relation between the emotions and the activity of contributors in the Open
Source Software project GENTOO. Our case study builds on extensive data sets from the …

Opinion mining is a subfield of data mining and natural language processing that concerns
with extracting users' opinion and attitude towards products or services from their comments …

Recent grassroots movements have suggested that online social networks might play a key
role in their organization, as adherents have a fast, many-to-many, communication channel …

Sentiment Analysis aims at extracting peoples sentiment, opinion, and appraisal from their
comments in social websites. Most research efforts in the area of sentiment analysis have …