Cоздат Lambda функцию на Python для анализа контента резюме
Main task: create Lambda function on Python that analyzes content of CV file (doc, docx, pdf, rtf) and returns text of resume and list of analyzed parameters.
List of analyzing parameters that we want to get from CV:
- First name
- Last name
- Email (array)
- Social links (array)
- Phone number (array)
- Skype
- Telegram
- Skills (array) we have a list for compare
- Specialities (array) we have a list for compare
- Location (array) we have a list for compare
- Birthday
We already have an analyzer that provides us such data but we would like to tune it to get more accurate results for different types of CV (including Slavian languages):
https://colab.research.google.com/drive/1mJwvA1Wlu3vV8YqOx5xC3jW8Q08hPXe3?usp=sharing
Examples of CVs for parsing are here: https://drive.google.com/drive/u/1/folders/1W-0F0s198yIcJdBJkgMXeKhns7xaPUpT
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Budget?
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Здравствуйте. Задача сильно размытая. Конкретизируйте, пожалуйста.
Что значит "tune"? В примере есть только функция, которая достаёт имя. По остальным фичам тоже есть готовые функции? Если да, то что именно не устраивает? Достаёт не то, что нужно, или не достаёт всё, что нужно?
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