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.
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.