Obstacles and challenges of opinion mining of customers reviews
The customer’s reviews and opinion mining become one of the wealthily areas in data mining. Nowadays, as the vast developments of using web applications and spreading of sites that provides a good platform for the customers to express their opinions directly on online shopping and companies web site...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/40945/ |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | The customer’s reviews and opinion mining become one of the wealthily areas in data mining. Nowadays, as the vast developments of using web applications and spreading of sites that provides a good platform for the customers to express their opinions directly on online shopping and companies web sites like Amazon.com, Cnet.com, customers opinion becomes helpful tools to manufactories to evaluation and measure satisfying ratio and weakness of the products [3]. Recently, there are many researcher works on this area of opinion mining, using different techniques, the developed techniques are good but also still there are many challenges and obstacles are still found. In this paper, we try to review some of the feature base opinion mining base concepts and techniques that are used now, and the challenges that face the opinion mining, and what the future works need to solve is. |
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