Develop a High Performance Computing Application


We want to calculate the similarity of several thousands of texts. The number of texts can go upto 100 K. Each text is in 1 .txt file and each file is named with a number: [login to view URL], [login to view URL], etc.

When this calculation is done for all the pairs of texts, a table must be generated, indicating the number of texts we can extract with a maximum similarity ratio of x % with the value of x going from 0 to 100 by increments of 1. This table must be exportable in pdf, format A4.

After that, we want to extract the less similar texts out of the whole batch, with 2 options offered to user:

● Extract the x less similar texts (user will define the value of x)

● Extract all the text with a maximum similarity of n % (user will define the value of n)

The values of x and n will be different each time we'll use the tool.

This tool must be running on demand on a High Performance Computing service like Amazon's one, for example.

Best regards,


Skills: Algorithm, App Developer, Mathematics, Python

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About the Employer:
( 42 reviews ) PARIS, France

Project ID: #20376889

24 freelancers are bidding on average $471 for this job


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