DSE03

Elective

2

On completing the course, the student will be able to:

• Understand how natural language processing (NLP) draws upon other areas of computer science and data analysis.
• Design and build computer systems and software for various tasks of NLP.
• Understand and implement the most important algorithms and techniques in NLP and text mining.
• Formulate models and construct computational solutions to text and speech-based processing problems.

• Search for, analysis and synthesis of data and information, with the use of the necessary technology
• Teamwork
• Production of free, creative, and inductive thinking

The course introduces fundamental concepts and tools of Machine Learning. The student is exposed to the necessary mathematical/algorithmic background and coding with the Python programming language. The topics covered include:

• Introduction to natural language processing and its challenges.
• Syntax and language modeling
• Information extraction from text
• Text classification and clustering.
• Sentiment analysis.
• Language models