代写Python Latent Dirichlet Allocation

Posted 2020-11-01 helpcode

In thisassignment we will submit extracted topics from 5 different Twitter accounts ofyour choice. This word document will contain the account names, extractedtopics, probability and 10 most common terms for each topic. Please includeyour IPython Notebook and name it as NetID_3.ipynb along with the worddocument.

 

I recommend usingCountVectorizer for feature extraction and LDA (Latent Dirichlet Allocation)for fitting the model. You can use interactive LDAvis for visualization anddetecting the most common terms.

 

Note: It’d behighly beneficial for your self-learning if you pick these accounts fromseparate domains such as politician, social celebrities, influencers, athletes,brands and several more.

 

Good luck!

 

 

 

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