Publication Date:
2010
abstract:
Opinion mining, a subdiscipline within data mining and computational linguistics, refers to the computational techniques for extracting, classifying, understanding, and assessing the opinions expressed in various online news sources, social media comments, and other user-generated content. This Trends & Controversies department and the previous one include articles on opinion mining from distinguished experts in computer science and information systems. Each article presents a unique innovative research framework, computational methods, and selected results and examples.
Iris type:
01.01 Articolo in rivista
Keywords:
Experimental evaluation; Opinion mining; Sentiment analysis
List of contributors:
Esuli, Andrea; Sebastiani, Fabrizio
Published in: