Customer Segmentation Based on Sentimental Analysis

Abstract

SA is commonly known as Sentimental analysis is a continuous field of research on analysis consumer emotions on purchase of products. This survey paper tackles an inclusive survey of mobile phone reviews. Customer segmentation is a vital part of every company deciding their product outreach. In this machine learning project, we will utilize nltk for clustering, for handling unlabeled datasets. The acquired findings illustrate the efficacy of the solution, which has a high level of accuracy in both mobile classification and user segmentation.