Text Categorization Using Encoder only Transformer

Institution

National University of Sciences and Technology, Islamabad, Pakistan
Dec 2023 - Jan 2024

Project Description

For the Text Categorization project, I developed a robust system for automatically categorizing textual data into predefined categories. This project involved the implementation of machine learning techniques, with a specific focus on utilizing transformers for enhanced performance in natural language processing tasks.

Project Highlights

• Implemented a state-of-the-art text categorization model using transformer-based architectures.
• Explored and leveraged transformer models such as BERT or GPT for improved understanding of contextual information in text.
• Conducted thorough evaluation and fine-tuning of the model for optimal performance in categorizing diverse text data.
• Integrated the solution in Python, utilizing transformers and NLP libraries such as Hugging Face Transformers and scikit-learn.

Technical Skills Acquired

• Python
• Natural Language Processing (NLP)
• Transformers
• Text Classification
• Machine Learning