Skip to content

Latest commit

 

History

History
23 lines (18 loc) · 574 Bytes

README.md

File metadata and controls

23 lines (18 loc) · 574 Bytes

nlp_financial_sentiment

Final project for LIN 373 Class by Dr. Jessy Li.

You will need the following python libraries to run. Requirments:

  • pandas
  • math
  • numpy
  • pandas
  • sklearn
  • nltk
  • gensim
  • spacy
  • transformers
  • datasets
  • tqdm
  • yfinance

The code was ran on Python 3.9. No Running guaratess for lower version. All packages were installed latest versions from pip.

There are two Jupyter notebooks. w2v_and_RQ1.ipynb runs code for RQ1, and the W2V part of RQ2. FinBERT.ipynb runs the BERT part of RQ2. The other two python files are data functionality.