Technologies Used
Python
Deep Learning
NLP
BiLSTM
GloVe
Text Classification
Project Overview
Implemented text classification using Bidirectional LSTM with pre-trained GloVe embeddings, achieving 91% accuracy on AG News dataset and 57% on the more complex 20 Newsgroups dataset with 20 categories.
Key Features
- Implemented using Python, Deep Learning, NLP
- Developed during Jan 2024 - Mar 2024
- Focused on performance, usability, and modern design principles
- Utilized best practices for code organization and maintainability
Development Process
This project was developed with a focus on creating a robust and scalable solution. The development process involved careful planning, implementation of key features, rigorous testing, and deployment.
Project Details
Project Type
Python
Timeline
Jan 2024 - Mar 2024
Primary Technologies
Python
Deep Learning
NLP
Related Skills
PythonDeep LearningNLPBiLSTMGloVeText Classification