Classify job titles (form 2 sources) into standard caregories using scikit -comparing 2-3 different approaches -
Budget €30-250 EUR
Create software on AWS EC2 in python from the scratch.
This software will take data from an .xls spreadsheet and will return another xls with a new column "standardized role".
We need to extract standard company roles (i.e. HR or Operations) from 2 fields: headline and title - categorization
using python library, possibly scikit
we need to use TfidfVectorizer to find keywords from these 2 original fields
and also clustering/classification
It would be nice to compare the result from 2-3 different approaches if they all match then automatically categorize the record otherwise ask for human supervision.
28 freelances font une offre moyenne de 173 € pour ce travail
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Hello there I read your job description and I see you need a text classification from the job title and headline. This is NLP project and I will use scikit-learn, for this classification, we can use KNN, SVM, Decision Plus
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