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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 285))

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.

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Correspondence to Mubarak Himmat .

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© 2014 Springer Science+Business Media Singapore

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Himmat, M., Salim, N. (2014). Survey on Product Review Sentiment Classification and Analysis Challenges. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_25

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  • DOI: https://doi.org/10.1007/978-981-4585-18-7_25

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  • Print ISBN: 978-981-4585-17-0

  • Online ISBN: 978-981-4585-18-7

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