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There are so many ways you could go about this. For starters, you could use Conditional Random Fields (CRF). There is a sweet implementation in Python. In which you can set the POS features and more. There is a website from the same source you posted on how to use CRF for your purpose (I have not read it thoroughly). Spacy is another great resource to get ...


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As far as I know, Gaussian LDA and Gaussian Naive Bayes both assume the features follow normal distributions. However, GNB places a stronger assumption on feature independence, while Gaussian LDA does not require features to be independent. See this.


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