davidgengenbach / bachelor-thesis

Text Classification using Concept Maps
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Text Classification using Concept Maps

Final Presentation

Thesis

Instructions

Developed and tested with Python 3.6. Recommendation: anaconda

git clone --depth 1 git@github.com:davidgengenbach/bachelor-thesis.git

cd code

# Bootstrap once
./script_bootstrap.sh

# Generate co-occurrence graphs
./script_create_coocurrence_graphs.py

# To run the classifications. See below for more information
./script_run_classification.py

Please see the individual scripts for parameters.

The concept maps have to be downloaded seperately (currently).

To Do