title: Data mining for pulsing the emotion on the web.
abstract: The Internet is becoming an increasingly important part of our lives. Internet users share personal information and opinions on social media webs expressing their feelings, judgments, feelings or emotions easy. Text mining and information retrieval techniques allow us to explore all this information and discover what the authors' opinions, claims, or assertions are. A general overview of sentiment analysis' current approaches and its future challenges, providing basic information on their current trends, is made throughout this chapter.
authors.affiliation: Department of Computer Science, University of Tromso, 9037, Tromsø, Norway, jubs@gft.com.
authors.forename: Jose Enrique
authors.initials: JE
authors.lastname: Borras-Morell
mesh_terms: D057225:Data Mining / Q000379:methods*; D004644:Emotions; D006801:Humans; D020407:Internet; D011639:Public Opinion; D061108:Social Media