I am working on this project for a week or so. There are job offers in different languages (english, german, french). On the other hand, we have classes as 240 different responsibilities (activities), ~94 skills and those are in english and french. So I need to match every sentence of the job offer into those classes whether they have similarities. The purpose of the project is to extract the responsibilities (activities) and skills from the job offer matching to those classes.
First we need to clean up the data and classes, some of the job offers are not valid which means it is not actually job offer (some are empty, some are meaningless url etc.. ). Second, We need to translate everything into English, then separate the text into sentences. Then match those sentences into the classes if they have similarity. We have to do everything in Python.
I attached the job offers as data xlsx, and classes as json. we should use the content column as a job offer from data file, activity desctiption and skill description as a classes from json file.
you should be able to communicate for further information and any clarification.
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