International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 2

An Approach towards Feature Specific Opinion Mining and Sentimental Analysis Across E-Commerce Websites

  • Author:
  • T Lijisha1, Archana Balakrishnan1, KS Sumayya1, PK Arjun1, Renjith Sunny2
  • Total Page Count: 7
  • Page Number: 257 to 263

1B. Tech Students, Department of Computer Science and Engineering, Ammini College of Engineering, Mankara, Palakkad, Keraka, India

2Assistant Professor, Department of Computer Science and Engineering, Ammini College of Engineering, Mankara, Palakkad, Keraka, India

Online published on 31 October, 2017.

Abstract

The Sentimental Analysis And Opinion Mining Is One Among The Major Tasks Of Natural Language Processing (NLP). This Project Aims To Automate The Process Of Gathering Online, End Users Reviews For Any Given Product Or Services And Analyzing Those Reviews In Terms Of Sentiments Expressed About Specific Features. This Involves The Filtering Of Irrelavent And Unhelpful Reviews, Quantification Of The Sentiments Of Thousands Of Useful Reviews. Data And Knowledge Engineering (DKE) Stimulates The Exchanges Of Ideas And Interaction Between These Two Related Fields Of Interest. DKE Reaches a World Wide Audience Of Researches, Designers, And Users.

Keywords

About four key words or phrases in alphabetical order, separated by commas