Inspiration

In recent years, Twitter has become a critical platform for companies to evaluate potential employees, leading to job loss and reputation damage due to past online remarks. I'm working on a tool to educate job seekers about maintaining a professional online presence and making it easier for recruiters to assess applicants.

What it does

This enables both recruiters and applicants to assess their Twitter accounts, gauging potential offensiveness to the public and constructing a more comprehensive view of their personalities.

How we built it

Data retrieved from GitHub is loaded through pandas' read_csv, followed by a series of data cleaning steps. All words are then lemmatized using spaCy. To determine text offensiveness, a Keras-based Convolutional Neural Network (CNN) is applied.

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