Categorizing Job Orders with a Naive Bayes Classifier

Categorizing Job Orders with a Naive Bayes Classifier

datascience, Machine Learning
Meridian Staffing has about 12,000 job orders from 2010 to present and each is assigned zero or more categories such as "Application Developer", "Project Manager", "Network Engineer", etc.  We regularly extract this job information from our Applicant Tracking System (Bullhorn) and load it into our Posse Analytics server for data analysis and reporting. Unfortunately, nearly 50% of these jobs are either not categorized or categorized as "Other Area(s)".  As MSS moves towards being a data-driven organization, categorization will inform activities like capacity and candidate pipeline planning.  As such, having good, clean data becomes  more and more important and we need to mitigate this issue. Naturally, the first line of approach is to address the source of the data.  But, while we may fix import processes and train people to correctly assign categories when entering…
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