Taggsy is a python library that will pick the most common occuring words between a number documents.
Installation:
# Clone repo and make virtualenv
git clone [email protected]:michael-karotsieris/taggsy.git
cd taggsy; python -mvenv venv; source venv/bin/activate;
# Install dependencies and run tests
make init;make test;
# Install python package
pip install . Example usage:
from taggsy import Core
core = Core()
text1 = 'An example document'
text2 = 'Another document'
core.add_documents([text1, text2])
print(core.most_common())
>>> {'document':
{'count': 2,
'docs': ['fbyzuj', 'ktbuwx'],
'sentences': ['An example document', 'Another document']}}Or run as python module
python -mtaggsy doc1.txt doc2.txt