A survey on deep learning based sentiment analysis

This survey focus on sentiment analysis using various Deep learning methodologies namely Convolutional neural network, Recurrent neural network, Long Short Term Memory, Gated Recurrent Unit and its variants. Sentiment analysis is used to analyse opinions or sentiments of people about entities such as products, services, individuals. Currently it has become a very active research area since a vast amount of data is generated daily in various forms such as text, audios and videos in the social media on the world wide web. Sentiment analysis categorizes opinions into positive, negative, or neutral. Deep learning network perform better than SVMs and conventional neural networks for sentiment analysis since it can handle huge amount of data. Out of various deep learning models Recurrent neural networks perform better than Convolutional Neural networks for sentiment analysis. LSTM and GRU both are better than Simple RNN because they can catch Long-Term Dependencies. Copyright (c) 2022 Elsevier Ltd. All rights reserved.Selection and peer-review under responsibility of the scientific committee of the International Conference on Artificial Intelligence & Energy Systems.