/NLPinFinance

Primary LanguageJupyter Notebook

Table of Contents

  1. Installation
  2. Project Motivation
  3. Licensing, Authors, and Acknowledgements

Installation

The implementation has been done with python 3.6. The packages needed are listed in requirements.txt and requirements folder.For this project I used a python environemnt created with [Anaconda Distribution]. (https://www.anaconda.com/distribution/)

Libraries Needed:
alphalens==0.3.2
nltk==3.3.0
numpy==1.13.3
ratelimit==2.2.0
requests==2.18.4
scikit-learn==0.19.1
six==1.11.0
tqdm==4.19.5

Project Motivation

This project assembles a lot of NLP operations needed for finance domain. I hope this serves as a quick tutorial for someone needing a crash course in NLP for finance.

Execution and Results

Licensing, Authors, Acknowledgements

At your own risk