Efficient Topic Level Opinion Mining and Sentiment Analysis Algorithm using Latent Dirichlet Allocation Model
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.8, No. 5)Publication Date: 2019-10-15
Authors : Vamshi Krishna.B Ajeet Kumar Pandey; A. P Siva Kumar;
Page : 2568-2572
Keywords : Opinion mining; Sentiment Analysis; Topic models; Latent Dirichlet Allocation;
Abstract
This paper discusses an efficient algorithm for topic level opinion mining and sentiment analysis of online text reviews by using unsupervised topic model, latent dirichlet allocation (LDA) for topic extraction and sentiment analysis of text reviews. The model accuracy is validated on twitter data by evaluating parameters perplexity and loglikelihood and compared with earlier models.
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Last modified: 2019-11-13 18:57:19