Competitor Mining and Identification from Large Unstructured Datasets
Rani R. Raut, Ravi V. Mante, Prashant N. Chatur · 2018
In the competitive world, We need to make our item more interesting, so customer get attracted and it will help us in competition. Here to take part in competition competitor should know about rivals and to know about competitors. Here we are using reviews of products. Most of the time customer share their experiences about purchasing things or products, So according to their experiences other customer learn and took their decisions. Reviews tells us about product quality and many more things. The main purpose of this paper is to find top-k competitors. For calculating competitors firstly we used four different algorithms. Out of these C-miner++ algorithm is better than naive, G-miner and C-miner. In case of C-miner++ algorithm computing time for calculating top-k competitor is less than rest three. So C-miner++ algorithm is the best algorithm for finding competitors. Our main aim is to show computing time for calculating top-k competitors using DE is less as compare to C-Miner and finding competitors more efficiently, so we used differential evaluation algorithm. We get a less computing time for calculating top- k competitors as compare to C-miner algorithm.