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PLS help to answer True/False Questions (Q12 & 14) and 13 & 15 Its an assignment on Natural language processing (NLP) Thanks Q12. The output

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PLS help to answer True/False Questions (Q12 & 14)

and 13 & 15

Its an assignment on Natural language processing (NLP)

Thanks

Q12. The output of the following code is [] (no match). From nitke takenize import Begexplokenizer tokenizer - BegexpTokenizer("[\Wint") text = "Mr. James told me Dr. Brown is not available today." tokens - takenizertekenizs (text) print (tokens) Q13. A similarity score between TF-IDF vectors of two documents can be calculated by the cosine similarity. Q14. The output of the following code is ' [ 'Hello', 'World']'. from nitkatokenize import word takenize print (word tokenize('Hello World.')) Q15. Explain the differences between Bag-of-Word and TF-IDF

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