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A Hybrid Deep Learning Approach for Sentiment Analysis using CNN and Improved SVM with Multi Objective Swarm Optimization for Domain Independent Datasets
International Journal of Advanced Trends in Computer Science and Engineering
In the Big Data world, there is an exponential increase in the volume of numerous data, such like text, image, audio and video, as text is the largest among them. Sentiment analysis is a trendy application in text mining, where text data concerning the feelings or attitude of the consumer is collected using different methods or techniques. Sentiment detection of online product reviews is helpful to figure out emotions and viewpoints of customers. Many researchers have just developed the Deepdoi:10.30534/ijatcse/2020/111932020 fatcat:ysklwwrcmzhehdardtr5vkk3je