A Conceptual Framework for Web Opinion Mining
نویسندگان
چکیده
Knowing what the customer thinks of a particular product/service helps top management to introduce improvements in processes and products, thus gaining competitive advantages. Nowadays, customers freely express their opinions through blog, wiki, forum, social network and other web 2.0 tools. These opinions can be processed by Text Mining techniques in order to derive strategic knowledge. In particular, in this work, we present an approach for polarizing opinions, that is to decide whether the expressed opinion is positive or negative. This approach is based on sentiment analysis techniques.
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