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nlp machine learning to get facts from sentences

looking for python machine learning code to check if sentence has relevant numbers and extract it. For example:

Lordstown Motors Corp tumbled 16.6% after it said Chief Executive Steve Burns and Chief Financial Officer Julio Rodriguez have resigned, days after the electric-truck maker warned that it may not have enough cash to stay in business over the next year.

===> Lordstown Motors Corp down 16.6%

Tesla gained 1.8% as CEO Elon Musk tweeted that the electric car maker may resume bitcoin transactions.

===> Tesla up 1.8%

Bitcoin vaulted back above $40,000 on Musk's comments.

===> Bitcoin above $40k

Do not have a dataset but can can provide a few more examples if needed

Skills: Python, Machine Learning (ML), Software Architecture

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About the Employer:
( 134 reviews ) Tallahassee, United States

Project ID: #30532437

13 freelancers are bidding on average $158 for this job

(110 Reviews)
7.1
ashikmohann

hi i am a python ,R developer and machine learning engineer. i have already done similar problem relation to extraction from call transcripts of quarterly earning of stocks. feel free to contact me and we can discuss More

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5.5
borutflis

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5.0
omanasoft

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(4 Reviews)
4.7
Tonyspychenko

Hi, As an NLP expert, I am very interesting in your project. I have ever worked for sentence segmentation using NLTK, and spacy. I think we can use NLTK in your project. First, we fill find the numbers using regex libr More

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4.5
(19 Reviews)
4.4
Sangeshwar

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3.7
pavelfree23

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3.8
sramireddy065

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3.9
kiryasidorov200

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(6 Reviews)
3.2
ahmedtryaq

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3.3
RithikSachdev

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dharsandip

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