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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 ...


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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