An efficient sentiment analysis using topic model based optimized recurrent neural network

Nikhlesh Pathik, Pragya Shukla
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
more » ... rs. The proposed model evaluated on three different datasets. Compared to the singlelayer Bi-LSTM model, the proposed model gives 95, 95, and 86% accuracy for the movie, mobile, and hotel domain, respectively.
doi:10.21307/ijssis-2021-011 fatcat:qdj5qfb7crbbfnvezvejkkgm4q