Supervised Opinion Mining Techniques: A Survey
نویسندگان
چکیده
Opinions play a very important role for human beings. Whenever a decision has been taken, opinions of others are also considered. Nowadays millions of web-users express their opinions about many topics through blogs, chats and social networks. Businesses and organizations always want to find consumer or public opinions about their products and services. In e-commerce and e-tourism, it is very important to automatically analyze the huge amount of social information available on the Web; therefore, it has become important to develop methods of automatically classifying them. Opinion Mining or Sentiment Analysis is the mining of attitudes, opinions, and emotions automatically from text, speech, and database sources through Natural Language Processing (NLP). This survey paper gives an overview of the supervised techniques that classify the opinions as positive or negative.
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تاریخ انتشار 2013