Application of Deep Learning For Sentiment Analysis
DOI:
https://doi.org/10.24113/ijoscience.v7i6.392Keywords:
AI, Neural Network, Sentiment Analysis, Deep Learning.Abstract
Deep learning is a type of artificial intelligence that employs neural networks, a multi-layered structure of algorithms. Deep learning is an accumulation of artificial intelligence statistics based on artificial neural networks for the teaching of functional hierarchies. In sentiment analysis, deep learning is also applied. This paper begins with an overview of deep learning before moving on to a detailed examination of its present uses in sentiment analysis.
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References
. Seetharamulu, B. Naresh Kumar Reddy1and K. Bramha Naidu, “Deep Learning for Sentiment Analysis Based of Customer Reviews," in IEEE, 2020.
Amit Kumar Goel, Kalpana Batra, " A Deep Learning Classification Approach for Short Messages Sentiment Analysis," in IEEE 2020.
Weinong Niu ,Lin Wu, " Sentiment Analysis and Contrastive Experiments of Long News Texts," IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (2019)
Punit Dubey, Anshul Mishra, Bijoy Krishna Saha, “Sentiment Analysis Using SVM and Deep Neural Network, IEEE (2019).
Namita Mittal, Divya Sharma, Manju Lata Joshi”, Image Sentiment Analysis using Deep Learning IEEE/WIC/ACM International Conference on Web Intelligence, 2018.
Kruttika Jain, Shivani Kaushal " A Comparative Study of Machine Learning and Deep Learning Techniques for Sentiment Analysis," IEEE. 2018.
Rachana Bandana, Nadiad “Sentiment Analysis of Movie Reviews Using Heterogeneous Feature,"IEEE 2019.
Basri Ciftci, Mehmet Serkan Apaydin, "A Deep Learning Approach to Sentiment Analysisin Turkish," in IEEE,2018.
Benwang Sun1, Fang Tian2, Li Liang1, "Tibetan Micro-Blog Sentiment Analysis Based on Mixed Deep Learning," IEEE,2018.
Mohammed H. Abd El-Jawad, Rania Hodhod, and Yasser M. K. Omar, “Sentiment Analysis of Social Media Networks Using Machine Learning,IEEE,. 2018.
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Copyright (c) 2021 Neha Sharma, Dr. S Veenadhari, Rachna Kulhare
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