Description:

This course covers the fundamentals and advanced topics in Natural Language Processing (NLP), enabling students to understand and apply various techniques in text analysis and natural language understanding. Participants will learn about semantic analysis, sentiment analysis, machine translation, and more to gain expertise in processing and interpreting textual data.

Key Highlights:

• Learn NLP fundamentals
• Explore advanced NLP techniques
• Hands-on projects and assignments
• Understand text analysis and interpretation

What you will learn:

• Understand NLP Fundamentals
  Gain a solid foundation in natural language processing, covering topics like tokenization, stemming, and part-of-speech tagging.
• Explore Advanced Techniques
  Dive deeper into NLP with advanced topics such as sentiment analysis, named entity recognition, and topic modeling.
• Hands-On Projects
  Apply your NLP skills to real-world projects and develop algorithms for tasks like text classification and language generation.
• Text Analysis Mastery
  Master the art of analyzing and interpreting textual data, from understanding document similarity to building chatbots.