An Approach for Detecting Polarity of Online Product Reviews Based on Opinion Target and Opinion Words from Reviews

被引：0
作者：
Bhongade, Bhagyashree G. [1 ]
Zadgaonkar, Ashwini V. [1 ]
机构：
[1] Shri Ramdeobaba Coll Engn & Management, Nagpur, Maharashtra, India
来源：
HELIX | 2018年 / 8卷 / 05期
关键词：
Opinion Target; Opinion Word; Semi-Supervised Method; Online Product Reviews; Semantic Analysis;
D O I：
10.29042/2018-3874-3878
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Online shopping is a medium for many consumers to buy goods and services from E-commerce applications. The public is more inclined to online shopping from the last decade. These online shopping portals also provide the customers a way to express their experience with the product by giving reviews. These reviews not only prove a benefit to the consumer but also help the manufacturer in improving the quality of their products. Our proposed approach works on determining the polarity of the mobile phone's reviews i.e. positive, negative or neutral using natural language processing techniques. We hope that our proposed model will act as a useful tool for online product review mining.
引用
收藏
页码：3874 / 3878
页数：5
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