Resolution of E-Commerce Market Trend Using Text Mining

Authors

  • Rajeev Tripathi Dept. of Computer Science, SRMGPC, Lucknow, India
  • Santosh Dwievdi Dept. of Computer Science, SRMGPC, Lucknow, India

Keywords:

Electronic commerce, Data Mining, Text Mining, Big data analytics, Business intelligence and analytics

Abstract

In the present mechanical complex world a few web based business sites like Amazon, Jabong.com, Myntra.com and Flipkart, and other web based shopping locales shelter gather item audits from clients to determine the fulfillment level on exact items. Information examination are down to earth on item surveys so as to realize useful investigative data as measurements that can bolster individuals working in an association for business examination in settling on very good quality choices so as to look for out the interest of client against their current business rivals. Enormous organizations around the globe understand that online business isn`t simply purchasing and selling over Internet, rather it improves the fitness to contend with different monsters in the market. For this aim information mining in some cases called as information disclosure is utilized. We accomplish this by managing various patterns in the content information like content representation, content mining methods in this way examining the topic on which a book has been created by perusing a couple of html records from a nearby organizer. In Product Ranking System, audits assumes basic job in deciding client satisfaction just as market tendency for that fastidious item, state on the off chance that regarding electronic items to get pertinent information in less time.

 

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Published

2020-02-28

How to Cite

[1]
R. Tripathi and S. Dwievdi, “Resolution of E-Commerce Market Trend Using Text Mining”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 8, no. 1, pp. 98–104, Feb. 2020.

Issue

Vol. 8 No. 1 (2020): February

Section

Research Article

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