Opinion Mining and Socail Networks: a Promising Match |
Author(s): |
| Neil Dhokte , AISSMS's IOIT; Reshma Y. Totare, AISSMS's IOIT; Ashlesha Dabir, AISSMS's IOIT; Deesha Solanki, AISSMS's IOIT; Akshay Sarda, AISSMSs IOIT |
Keywords: |
| Opinion mining, automatic responders |
Abstract |
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Opinion Mining is becoming larger domain of the marketing and advertising domains. There are number of companies with their various products. E.g. Advertiser needs to analyze performance/ popularity of ads that advertiser posted on site. Currently or mostly used method to review a product is based on star ratings. Star rating based mechanism may go fraud, because of robots or automatic responders. So, current system needs to be analyzed using comments & natural language processing. Fraud comments could be removed by using irrelevant comment removal mechanism. The proposed system will able to mine users’ intent from comments and it will be resistant to fake opinion postings. Irrelevant comments removal will increase opinion mining performance of system because of which false positive & false negative rates will be reduced. |
Other Details |
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Paper ID: IJSRDV2I12348 Published in: Volume : 2, Issue : 12 Publication Date: 01/03/2015 Page(s): 652-654 |
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