Abstract:Sentiment analysis uses different tools and techniques to extract informative data such as users' opinions or emotions from their textual feedback. The state-of-art sentiment analysis techniques offered lower performance due to the inability to handle both small and larger datasets. To overcome this problem this paper presents a deep learning technique known as Centered Convolutional Restricted Boltzmann Machines (CCRBM) for user behavioral sentimental analysis. However, this deep learning model's performance … Show more
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