• S.KARTHIK
• S.R.RAMYA

In this paper proposed some idea CRM Touch points of Merchants selling products on the web often ask their customers to review the products that they have purchased and the associated services. For e-commerce is fetching more and high trendy, the number of customer reviews that a product receives grows rapidly. For a popular product, the number of reviews can be in hundreds or even lot. This types of create it not easy for a likely customer to read them to make an informed decision on whether to purchase the product. It also makes it thorny for the company of the product to maintain way and to manage customer opinions is transferred into a futures-ideas brace and mining is then process to be formatted observations the algorithm of association classification. For the maker, there are supplementary difficulty because many commercial sites may sell the same product and the manufacturer normally produces many kinds of products. In this research, I aim to mine and to summarize all the customer reviews of a product. There have been numerous approaches residential based on the perception of discovering different revolutionize pattern news and buyer purchase data text summarization because we only mine the features of the product on which the customers have articulated their opinions and whether the opinions are positive or negative from the reviews to capture the main points as in the classic text summarization. Our assignment is perform in three ideas: 1.pulling out creation features that have been commented on by consumers; 2.Finding opinion text in each review and deciding whether each opinion sentence is good or bad; 3.collection of the results. This paper proposes CRM deliberate techniques to perform these tasks. Our investigational results using reviews of a number of products sold online exhibit the usefulness of the techniques. The summarized results can rally round consumers and selling managers to make judgment.

Cost of quality, Customers, Service quality, Touch points.

"THE RELATIONSHIP BETWEEN CUSTOMER PARTICIPATION AND SATISFACTION AND CUSTOMER TOUCH POINTS REVIEW TO DATA MINING CONCEPTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.285-288, June 2019, Available :http://www.jetir.org/papers/JETIR1906X73.pdf

"THE RELATIONSHIP BETWEEN CUSTOMER PARTICIPATION AND SATISFACTION AND CUSTOMER TOUCH POINTS REVIEW TO DATA MINING CONCEPTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp285-288, June 2019, Available at : http://www.jetir.org/papers/JETIR1906X73.pdf