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Text mining _ The similarity between jobs offers based on the skillss

€8-30 EUR

Closed
Posted about 5 years ago

€8-30 EUR

Paid on delivery
I have job offers as data and list of skills that i have to extract form the jobs offers and doing similarity using similarities algorithms and choose the best one based on the accuracy Skills : text mining python MongoDB
Project ID: 19069688

About the project

6 proposals
Remote project
Active 5 yrs ago

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6 freelancers are bidding on average €36 EUR for this job
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Hello, i like your project and i already have some code that does similar computations, but since similarity analysis usually requires some experimentation, i can't really give you a better rate than 50€. Please let me know if you're interested! Best, Jo Bergs
€50 EUR in 1 day
4.9 (33 reviews)
5.9
5.9
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Hi, I would like to determine the similarity between job offers based on the skills. You can rely on me. I am an experienced developer. Looking forward to hear from you. Best regards, Oleg
€30 EUR in 2 days
5.0 (15 reviews)
5.7
5.7
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Hi,i'm a data scientist with a BS degree in computer science i will do your task as fast as i can and i will achieve it exactly as you want,don't worry about any thing contact me for discussion
€50 EUR in 4 days
4.9 (17 reviews)
4.0
4.0
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Hi, I'm Abubakar and I'm an expert python programmer with 2+ years experience. I read the description of your job carefully and I believe I can do it perfectly. It will be an honour to work on your project.
€30 EUR in 2 days
5.0 (4 reviews)
3.4
3.4
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Hey, I have experience in Text Analysis and Keyword extraction with Machine Learning and text similarity scripts. I can definitely help you in this project. Contact me for further discussion.
€30 EUR in 1 day
5.0 (1 review)
2.2
2.2
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i have done similar project called Name matching so i have experience on these types of projects . using phonetics algorithms and distance algorithms to calculate matching score
€23 EUR in 1 day
0.0 (0 reviews)
0.0
0.0

About the client

Flag of FRANCE
Poitiers, France
5.0
5
Payment method verified
Member since Mar 4, 2017

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