A new approach applying Sentiment Analysis in Greek Language

In recent years, observing the rapid development of web applications, we are leading to the result of a huge volume of web texts that has come from forums, social media and blogs. These applications are a means of communication, commentary, criticism, presentation of proposals but also of political and religious beliefs. All these texts, small or large, capture the feelings, desires, intentions, but also the perceptions on various issues of the users, with the result that this data is valuable. In this article we present an approach for the analysis of text data in the Greek language in order to extract important information about the author's emotion. This approach classifies user-generated comments into the appropriate polarity category using basic classifications methods.