Exploring eWOM in online customer reviews: Sentiment analysis at a fine-grained level-Reference-Cited by-同舟云学术

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Exploring eWOM in online customer reviews: Sentiment analysis at a fine-grained level

Published:2019-05 Issue: Volume:81 Page:68-78
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sun Qing,Niu Jianwei,Yao Zhong,Yan Hao

Funder

Nature Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference33 articles.

1. An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews;Amplayo;Data Knowl. Eng.,2017

2. Unsupervised concept hierarchy learning: A topic modeling guided approach;Anoop;Procedia Comput. Sci.,2016

3. Elicitation synergy of extracting conceptual tags and hierarchies in textual document;Chi;Expert Syst. Appl.,2007

4. The research report on online shopping market in China;CNNIC,2015

5. Twitter brand sentiment analysis: A hybrid system using n -gram analysis and dynamic artificial neural network;Ghiassi;Expert Syst. Appl.,2013

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