Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder-Reference-Cited by-同舟云学术

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Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder

Published:2019-05 Issue: Volume:171 Page:81-92
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Fu Xianghua,Wei Yanzhi,Xu Fan,Wang Ting,Lu Yu,Li Jianqiang,Huang Joshua Zhexue

Funder

National Nature Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference36 articles.

1. Sentiment Analysis and Opinion Mining;Liu,2012

2. Affective computing and sentiment analysis;Cambria;IEEE Intell. Syst.,2016

3. SemEval-2014 task 4: Aspect based sentiment analysis;Pontiki;Publishing,2014

4. DCU: Aspect-based polarity classification for SemEval task 4;Wagner;Publishing,2014

5. PhraseRNN: Phrase recursive neural network for aspect-based sentiment analysis;Nguyen;Publishing,2015

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