som_summarizer

A method to summarize the text in the English language has been proposed. The proposed method performs extractive summarization by clustering employing a deep neural network known as the self-organizing map.

Prerequisite

Python 3.6+ (tested on python 3.8)
nltk
sklearn-som
sentence-transformers
primefac

Installation

Using pip

pip install -i https://test.pypi.org/simple/ som-summarizer

Building from source

git clone https://github.com/abhinav-TB/som_summarizer.git

cd text-summarization

pip install .

Usage

from som_summarizer import summarizer

input = ''' ''' #text to be summarized
s = summarizer(sum_size= 4 ,epochs=100) # summary size and epoch size
print(s.generate_summary(input))

For demo run the demo.py file in the root directory

Local development setup

1.Clone the repository

git clone https://github.com/abhinav-TB/som_summarizer.git

2.Change directory

cd text-summarization

3.Install the dependencies

pip install -r requirements.txt

Testing

pytest .

web app demo

Use front-end branch for further installation instructions

License

Distributed under the Apache License. See LICENSE for more information.