Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1075
Title: An Analytical Approach to Customer Sentiments using NLP Techniques and Building a Brand Recommender Based on Popularity Score
Authors: Sudesna Baruah, Subhabaha Pal
Keywords: Natural Language Processing,
Sentiment Analysis
Topic Modeling
LDA
VADER
Issue Date: 2019
Publisher: Indian Journal of Computer Science
Abstract: Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence that is concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.This field has a great importance in many areas like retail stores and websites, social networking sites like Twitter, Facebook etc.; for understanding the various views or sentiments of the public or the consumers or end users, regarding a particular product or topic.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1075
Appears in Collections:Article Archives

Files in This Item:
File Description SizeFormat 
An Analytical Approach to Customer Sentiments Using NLP.pdf
  Restricted Access
An Analytical Approach to Customer Sentiments1.06 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.