Document - Al and Opinion Mining, Part 2. Sentiment quantification

2010

Journal article Open Access

Al and Opinion Mining, Part 2. Sentiment quantification

Esuli A., Sebastiani F.

Sentiment analysis Artificial Intelligence Opinion mining Computer Networks and Communications Experimental evaluation

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.

Source: IEEE intelligent systems 25 (2010): 72–79. doi:10.1109/MIS.2010.94

Publisher: IEEE Computer Society,, Los Alamitos, CA , Stati Uniti d'America

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@article{oai:it.cnr:prodotti:44366,
	title = {Al and Opinion Mining, Part 2. Sentiment quantification},
	author = {Esuli A. and Sebastiani F.},
	publisher = {IEEE Computer Society,, Los Alamitos, CA , Stati Uniti d'America},
	doi = {10.1109/mis.2010.94},
	journal = {IEEE intelligent systems},
	volume = {25},
	pages = {72–79},
	year = {2010}
}