Text Rank approach for text summarization.

• nltk
• numpy
• networkx

• stopwords: Stopwords are the English words which does not add much meaning to a sentence.

• Setup a python 3.x virtual environment.
• Activate the environment
• Install the dependencies using pip3 install -r requiremnts.txt
• Setup the models by running the following commands,

$ python -m nltk.downloader stopwords

• Run the text_summary.py file
• Enter the source path.

The code generates the tokens (same as weights) of set of words, it shows the relative importance of words according to the summarizer, just uncomment the l112

Results can be found here.