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One of the most common applications of deep learning algorithms is sentiment analysis. This study delivers a better performing and efficient automated feature extraction technique when compared to previous approaches. Traditional methodologies like surface approach will use the complicated manual feature extraction process, which forms the fundamental aspect of feature driven advancements. These methodologies serve as a strong baseline to determine the predictability of the features, and itdoi:10.36548/jscp.2021.2.006 fatcat:onnac737d5flpdqbyapylolu4a