Analysis of text through Python and built-in libraries
The general action plan is approximately this (correction is possible during the task):
1) A number of files with texts that need to be combined into one file are used for entrance.
2) Preboot of the finished file with text (elimination of extra characters, bringing words to the initial form, removing slides).
3) Analysis of text: definition and counting of words-marker (frequently used words), counting of other relevant vocabulary - personal place names, interdomains, and so on.
4) Processing of the received information (including visualization of the results).Binding requirementsI need to obtain:
Code for each stage
2) Conclusions on calculations
3) Visual outcome of results (tables, graphs)
Work results
Client's review of cooperation with freelancer
Analysis of text through Python and built-in librariesI was pleased to work with Andrew. The specialist was in contact, answered all the clarificing questions, performed the work in the shortest time possible and provided full information.
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Freelancer's review of cooperation with client
Analysis of text through Python and built-in librariesA great customer is always in contact if you need to answer any questions on the project immediately. It worked perfectly, I want more.
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