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An efficient sentiment analysis using topic model based optimized recurrent neural network
2021
International Journal on Smart Sensing and Intelligent Systems
In recent years, topic modeling and deep neural network-based methods have attracted much attention in sentiment analysis of online reviews. This paper presents a hybrid topic model-based approach for aspect extraction and sentiment classification of textual reviews. Latent Dirichlet allocation applied for aspect extraction and two-layer bi-directional long short-term memory (LSTM) for sentiment classification. This work also proposes a hill climbingbased approach for tunning model
doi:10.21307/ijssis-2021-011
fatcat:qdj5qfb7crbbfnvezvejkkgm4q