Kapalı

ML Model building techniques for legal text.

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 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)

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Sample python code and steps

Beceriler: Python, Machine Learning (ML)

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İşveren Hakkında:
( 3 değerlendirme ) Cordoba, Argentina

Proje NO: #28281859

Bu iş için 2 freelancer ortalamada $98 teklif veriyor

sajjadtaghvaeifr

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. Daha Fazla

$140 USD in 7 gün içinde
(3 Değerlendirme)
2.6
VisheshJain112

Greetings, Trust things are safe and fine at your end I'd divide your problem into four stages First stage would be to figure out the NERs with Spacy for better optimization we can also use BERT based NER Second S Daha Fazla

$56 USD in 7 gün içinde
(0 Değerlendirme)
0.0