Aspect Ranking Algorithm for Product Review |
Author(s): |
| Ramineedu Anusha , srkit; Ch.Praneeth, SRKIT |
Keywords: |
| Ranking Algorithm, Product Review |
Abstract |
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Now a day's several customer reviews are available on internet for popular products. Customer reviews are generally valuable and knowledgeable that may be useful for organizations and individuals. These reviews are generally unorganized and may contain several aspects. Consumers commonly search for information to make their purchasing product decision or for their own product development. Sentiment Analysis on tweets collected based on product review is done using RStudio. As mobiles occupy major part of the consumer domain now days, we take reviews of Samsung mobiles for our aspect extraction and analysis. An Aspect ranking algorithm is proposed to rank the aspects based on Frequency, Correlation and both. With the help of "sentimental analysis", we can understand how many like and how many are against the product. |
Other Details |
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Paper ID: IJSRDV5I90263 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 419-421 |
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