Course Description
This course provides a deep dive into Natural Language Processing (NLP) with a specific focus on text summarization techniques using machine learning. Participants will explore various methods and algorithms for text summarization, including extractive and abstractive approaches. The course includes practical sessions to implement and evaluate these techniques using popular NLP libraries in Python.
Duration
5 Days
Course Objectives
- Understand the fundamentals of NLP and text summarization.
- Learn and implement different text preprocessing techniques.
- Explore and apply extractive text summarization methods.
- Develop and evaluate abstractive text summarization models.
- Use Python libraries such as NLTK, SpaCy, and Hugging Face for text summarization.
- Gain hands-on experience through practical projects.
Course Audience
This course is suitable for:
- Data scientists and analysts interested in NLP and text summarization.
- Machine learning engineers looking to expand their expertise in NLP.
- Researchers and students aiming to specialize in text summarization techniques.
- Professionals seeking to implement text summarization solutions in their projects.