Sentiment Analysis Using Hybrid Model of Stacked Auto-Encoder-Based Feature Extraction and Long Short Term Memory-Based Classification Approach
Author:
Affiliation:
1. Department of Information Technology, The University of Haripur, Haripur, Pakistan
2. College of Technical Engineering, The Islamic University, Najaf, Iraq
3. Information Technology Department, Thamar University, Thamar, Yemen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10244022.pdf?arnumber=10244022
Reference43 articles.
1. Deep learning for sentiment analysis: A survey
2. Exploiting Stacked Autoencoders for Improved Sentiment Analysis
3. Intelligent Asset Allocation via Market Sentiment Views
4. A Domain-Independent Classification Model for Sentiment Analysis Using Neural Models
5. Understanding Emotions in Text Using Deep Learning and Big Data
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