GloVe News Classifier
A Java news classification project using GloVe embeddings and article parsing utilities for text categorization.
Problem
Traditional keyword-based pipelines struggle to capture semantic similarity across news articles from different topics.
Approach
I built a Java classifier around GloVe vector embeddings, article parsing, and embedding utilities to convert raw text into representation vectors used for classification.
Outcome
- Implemented an end-to-end NLP flow from raw news documents to embedding-based classification inputs.
- Added test coverage for key components such as GloVe handling, parsing, and embedding logic.
- Produced a reusable baseline for experimentation with semantic text classification.