Textual Analysis of Financial Statements
Zhengxing Cheng, Owen Lin, Isaac Liu, Sean Zhou
A variety of small datasets can be found in this repository. The main dataset we use for analysis is split into pieces contained in the folder Data\All_Data\All_Data_with_NLP_Features. The structure of our Code folders should be pretty self-explanatory.
Slides here.
Slides here.
Slides here.
Try to use relative paths (.., etc.) when referencing other folders in this repository. Run scripts from the directory in which they are located. It's also recommended to clone the repository in ~/repo (create a folder repo in whatever directory ~ references on your machine).
Base data for this project is kept on Box.
For filepaths, access it using "~/Box/STAT 222 Capstone" to ensure code is usable across all machines.
Some smaller files and final cleaned data files are kept in the Data folder.
The environment capstone can be found in environment.yml.
To make yourself a copy of the environment, run conda env create -f environment.yml. To update the environment if the yaml changes, run conda env update --name capstone --file environment.yml --prune.
If you have the environment activated, you can run conda env export > environment.yml while in this directory to update the yaml file.