This area of the Text Extensions for Pandas source code contains detailed
end-to-end examples, broken down into multiple Jupyter notebooks. Each use
case occupies a separate subdirectory of the tutorials directory.
To run any of these tutorials, check out a copy of the Text Extensions for
Pandas source tree, follow the instructions in the main README.md file to
create a JupyterLab environment, and run the notebooks in the directory you're
interested in.
Subdirectories:
corpus: Model training and analysis code used in the CoNLL-2020 paper "Identifying Incorrect Labels in the CoNLL-2003 Corpus".market: Market intelligence use case involving mining the names and titles of executives from IBM press releases.