FEATURE SPECIFIC SENTIMENT ANALYSIS FOR BEAUTY PRODUCTS

  • Manmeet Kaur
Keywords: -Sentiment Analysis, Opinion Mining, Aspect based Sentiment Analysis

Abstract

In this paper, a far reaching investigation of how to
model and consequently examine the opinion rich data
contained in customer reviews of beauty products is provided.
Specifically, the task of featurebased sentiment analysis has
been considered. Given an accumulation of review messages of
beauty products, the objective is to recognize the particular
aspects consumers have commented on and to choose whether
the reviews are fairly positive or negative.

Author Biography

Manmeet Kaur

University Institute Of Engineering & Information Technology
Panjab University, Chandigarh

Published
2017-10-05
How to Cite
Kaur, M. (2017). FEATURE SPECIFIC SENTIMENT ANALYSIS FOR BEAUTY PRODUCTS. MATRIX Academic International Online Journal Of Engineering And Technology, 5(2), 5-8. Retrieved from https://www.maiojet.com/index.php/matrix/article/view/3
Issue
Vol. 5 No. 2 (2017): October, 2017 Edition Volume V Issue II
Section
Articles