Revenue Generation from Recommendation System Using Sentimental Analysis
Tabish Farooq1, Mohammad Shabaz2
1Tabish Farooq, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
2Mohammad Shabaz, Department of Computer Science Engineering, Universal Institute of Engineering & Technology, Mohali (Punjab), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 351-354 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3593048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rapid-tidily when we are talking about sentimental analysis, one only thought about that the terminology concerned only with the opinion or emotions of human. But they never thought that using this terminology one can even make a business model and generate revenue. There are many big as well as small industries, organizations that use sentimental analysis to grow and inclined their business to heights. Some of those organizations include delta airlines, amazon, flipcart etc. The concern is how to create that business model that can be easily accessible to everyone. In this paper we extract the amazon transactional data from January 2019 to March 2019 and evaluate the difference in prices from vendor’s price to the corrected marked price. We find that a large difference which leads to extortionate for the customer. Using sentimental analysis we can target large audience, as the size of customer increases then the market price of the item/product decreases.
Keyword: Text Mining, Opinion Mining, Revenue Generation, Recommendation Systems
Scope of the Article: Expert Systems