/Topic-Modeling-and-Text-Classification

An analysis was made into a text dataset which contains short text and by comparing different methods to find the best model. For the text classification problem Naive Bayes, Regression Analysis, CNN in supervised method was implemented. For the topic modeling problem, I implemented LDA and NMF method to observe the performances and measured the performance by comparing the coherence value.

Primary LanguageJupyter Notebook

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