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Text-Summarization-Using-Python-NLTK

Generating summary of a Text using Python NLTK Library. Here we used TF-IDF Algorithm.

In information retrieval, tf–idf or TFIDF, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is often used as a weighting factor in searches of information retrieval, text mining, and user modeling

Pre-requisites

Anaconda Python & Jupyter Notebook

One must have Python installed in his local system. Use jupyter notebook to run this script.
Download Anaconda here

Documentation

NLTK Documentation