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Survey on product review sentiment classification and analysis challenges

Himmat, Mubarak and Salim, Naomie (2014) Survey on product review sentiment classification and analysis challenges. Lecture Notes in Electrical Engineering, 285 LN . pp. 213-222. ISSN 1876-1100

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Official URL: http://dx.doi.org/10.1007/978-981-4585-18-7_25

Abstract

There is no doubt that the process of using the internet to post comments and to get others' comments has become a common daily practice on the Web. Nowadays, a huge amount of information is available on the internet. The data which is posted by users and customers who visit these websites every day contain significant information. Some companies ask their customers about a product or services, for feedback analysis and to evaluate the satisfaction ratio of their products and services. The reviews by customers of products are rapidly growing. This paper provides ground knowledge and covers the most important scholarly papers and research that have been done in the area of sentiment analysis and the classification of opinion. This work presents opinion definitions and more detailed opinion classifications, and explains the related topics. This review will provide an introduction to the most common and significant information related to sentiment analysis, and it will answer many questions that have been asked in opinion mining, analysis, classifications and challenges.

Item Type:Article
Uncontrolled Keywords:sentiment classification, text mining
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:62742
Deposited By: Fazli Masari
Deposited On:06 Jun 2017 06:09
Last Modified:06 Jun 2017 06:09

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