Financial Narrative Summarization

Created a specialized annotated dataset for supervised learning and used the annotated dataset for the fine-tuning the BERT model, focusing on a regression task by performing extractive text summarization of financial data.

Link to demo

https://huggingface.co/spaces/Mahendranath/nlp-ts

Refresh the page if you get any error related to importing.

Run Locally

Download the files (you require to download this folder even for running .ipynb file)

  https://drive.google.com/drive/folders/10I830XoPm9ZVwOehBqFPuW4hdTpJPREp?usp=sharing!

Go to the project directory

  cd 'NLP-Text Summarization'

Install dependencies

  pip install -r requirements.txt

Start the Streamlit

  streamlit run app.py

MAKE SURE TO CHANGE THE PATH OF EACH FILE ACCORDING TO THE PATH YOU STORED THEM