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mari-topic-modeling's Introduction

MARi-topic-modeling

Summer 2019

Goal Statement:

To apply supervised and unsupervised learning models to job posting data to identify hidden semantic structure in tech-focused roles. My final project was a recommendation engine which works by extracting text from a resume to output a career focus/role suggestion. Check out the project site here.

Includes:

Keyword and topic association, NLP classification (Latent Dirichlet Allocation), webscraping (Selenium)

Tools:

Python (Scikit-learn, Statsmodels, Pandas, Selenium, SQLAlchemy

mari-topic-modeling's People

Contributors

drranliu avatar chiemiko avatar

Stargazers

Roman avatar

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