add a text summarizer

[manish2202]

1. based on extractive text summarization
2. use of cosine similarity where sentences are ranked based on the similarity (zero angle if similar sentences).
3. uses NLTK for tokenizing words/sentences and for removing stopwords (of English language).
4. a frequency table is also created to check the frequency of words.

Here is the text document containing the entire code

Text Summarizer using NLTK.txt

[geekquad]

Hey @manish2202, try to make a pipeline of the code. I will review it and ask for necessary changes if needed. Add a requirements.txt file as well.
You are allowed to create an NLP folder as well. Make it "nlp".
The file structure should look like this:

AlgoBook
nlp

test summarizer

file.py

[manish2202]

Okay. Thanks

[manish2202]

Hey @manish2202, try to make a pipeline of the code. I will review it and ask for necessary changes if needed. Add a requirements.txt file as well.
You are allowed to create an NLP folder as well. Make it "nlp".
The file structure should look like this:

AlgoBook
nlp

test summarizer

file.py

Hello, I have done the necessary changes. Would you mind checking it? I had some work out of station so I couldn't work earlier.