About this document
Comparative Text Classification in NLP by tastybites.sa1 is a document available to read on EtoBox.
The coursework assignment for the CM3060 Natural Language Processing module involves developing a text classifier for a specific domain using both statistical and embedding-based models. Students are required to implement data preprocessing, establish baseline performance, and conduct a comparative analysis of model effectiveness, with a focus on metrics such as accuracy and precision. The final submission should include a performance analysis, project reflections, and suggestions for future research direct
- Author
- tastybites.sa1
- Language
- EN