NLP Tag Suggestion

This project uses Natural Language Processing (NLP) techniques and a supervised learning approach to suggest relevant tags. The underlying model, a LinearSVC classifier, was trained on 25,000 samples and 100 distinct tags. By analyzing the content of a text, it suggests tags to categorize the topic.