ML Model building techniques for legal text.
Budget $30-250 USD
I need step by step procedure to build a ML model from legal text in pdf files for Contract Analysis and Extraction of certain clauses. If you have used Conditional Random Fields, HMM, NER, XGBOOST with NLTK, Sci-kit Learn and Spacy then provide me the steps and sample code. I also need sample code for Model evaluation (Accuracy, Recall and F-Score)
Sample python code and steps
10 freelancers are bidding on average $173 for this job
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