Define words for category E, S and G. Analyze pdf documents and count the frequencies of the words in the corresponding category. Print the categories with the frequencies
This folder contains the csv files for the corresponding categories.
This folder contains the pdf documents which should be analyzed
This folder is the output folder which contains a txt file for each pdf document corresponding to the category. This is an example output: category_S: 457 category_E: 1275 category_G: 1666
An executable file is placed as zip file in the executable folder. To use the given file structure without compiling or code changes unzip ESG-Analysis and run the executable. The executable file is not signed so you maybe need to adjust your system security settings or install python and pyinstaller and compile it on your own.
After changes to the application file (MyApplication.py) you need to create/ recreate an executable file. You need to configure pyinstaller. After install and configuration run:
pyinstaller --onefile \
--add-data "/Users/marcel/.pyenv/versions/3.12.7/lib/python3.12/site-packages/en_core_web_sm/en_core_web_sm-3.8.0:en_core_web_sm" \
--add-data "Nachhaltigkeitsberichte:Nachhaltigkeitsberichte" \
--add-data "categories:categories" \
--add-data "analysisOfWordFrequencies:analysisOfWordFrequencies" \
--hidden-import spacy \
--hidden-import spacy.cli \
--hidden-import thinc.backends \
--name "ESG-Analysis" MyApplication.py