Leviafunc(legal_acts):
    return work_of_Leviathan

NLP of legal texts

Analysis of agreements between governments

• Key words & key phrases extraction with TF-IDF and N-gramms
• NER for DATES with (Natasha (rule-based lib for Russian language). Sequence model, implemented in AnaGo and NER by DeepMIPT both have lower accuracy for this type of documents.
• Dictionary method with morphological analysis for finding ORGANIZATIONS and COUNTRIES

use as a module

$ pip install leviafunc

use cases are described in example.py

or run as a script

$ git clone https://github.com/alissiawells/Leviafunc.git
$ cd Leviafunc
$ mkvirtualenv Leviafunc
$ pip install -r requirements.txt
$ python leviafunc.py input.txt [-f / output.txt] [-c corpus.txt]

or run without [additional options] for console output with initial corpus

or use jupyter notebook

$ jupyter notebook

then open in browser 'Analysis.ipynb'

or use Docker