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Extracting top competitors from unorganized data-Review

    Kavinya P Nanthini K Indumathi B

International Research Journal on Advanced Science Hub, 2019, Volume 1, Issue 1, Pages 10-16
10.47392/irjash.2019.02

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Abstract

The ability to make a product more desirable to consumers than competition is central to the success of every competitive business. The web application allows the user to see products and their functionalities together with the potential to comment on the product and can also show other customers ' comments. A potential customer finds it difficult to read and determine from the broad comments. The competition of two items based upon market segments that both can cover is determined by this approach. A "CMiner" algorithm is provided to find the top competitors for a particular item to predict competition using the customer reviews. This system returns the competitors of products correctly and reliably, as compared to previous models based on subjective and comparative Web expressions. Business organizations are not only able to identify competitiveness, but they are also able to benefit from meeting user needs.
Keywords:
    customer reviews Competitor mining Data mining Firm analysis Information Search and Retrieval Item Dominance
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(2019). Extracting top competitors from unorganized data-Review. International Research Journal on Advanced Science Hub, 1(1), 10-16. doi: 10.47392/irjash.2019.02
Kavinya P; Nanthini K; Indumathi B. "Extracting top competitors from unorganized data-Review". International Research Journal on Advanced Science Hub, 1, 1, 2019, 10-16. doi: 10.47392/irjash.2019.02
(2019). 'Extracting top competitors from unorganized data-Review', International Research Journal on Advanced Science Hub, 1(1), pp. 10-16. doi: 10.47392/irjash.2019.02
Extracting top competitors from unorganized data-Review. International Research Journal on Advanced Science Hub, 2019; 1(1): 10-16. doi: 10.47392/irjash.2019.02
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