Analyzing Educational Tweets using LDA Model
Keywords:
Topic modeling, Latent Dirichlet Allocation, Latent Semantic Analysis, Educational tweetsAbstract
For the purpose of generating best educational reforms, knowledge discovery of educational tweet analysis is more important. Today the social media content on the Internet is rigorously increasing hour by hour. Hence analyzing this textual content is a vital task to solve problems in education. In this study Latent Dirichlet Allocation (LDA) is used to analyze the text content which finds the relationships among documents in the corpus. This proposed work shows that the LDA provide better result to extract topic with accurate coherence & prevalence score. This work also infers that the LDA performs best than Latent Semantic Analysis (LSA).
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