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A Novel Deep Learning Approach of Convolutional Neural Network and Random Forest Classifier for Fine-grained Sentiment Classification
2021
International Journal on Electrical Engineering and Informatics
Deep learning became more popular in recent years. It is widely used for different machine learning tasks. One such task is sentiment prediction on a text document. Fine-grained sentiment analysis is highly recommended since most of the researchers are focusing on binary sentiment classification. In this work, a new model which combines the benefits of both Convolutional Neural Network (CNN) and Random Forest (RF) Classifier is proposed for finegrained sentiment classification. The main idea of
doi:10.15676/ijeei.2020.13.2.13
fatcat:2irwjmmns5binn625heyg6dnte