Text Summarization using TextRank

Feature:

• Based on Extractive Summarization: which rely on extracting several parts, such as phrases and sentences, from a piece of text and stack them together to create a summary.
• Single domain multiple source summary

Install:

pip install -r requirement.txt

Uses:

python text_summarizer.py

Data file:

• tennis_articles_v4.csv: ten tennis news article about single event from multiple source
• glove.6B.100d.txt: GloVe : Word embeddings for vector representation of words. Using the pre-trained Wikipedia 2014 + Gigaword 5 GloVe vectors

Download from the source:

!wget http://nlp.stanford.edu/data/glove.6B.zip 
!unzip glove*.zip