Course Description
This course is intended as a theoretical and methodological introduction to the most widely used and effective current techniques, strategies and toolkits for natural language processing. The ability to harness, employ and analyze linguistic and textual data effectively is a highly desirable skill for academic work, in government, and throughout the private sectors.
Course Objectives
- Students will be able to comprehend the importance of using natural language processing when resolving issues in the real world.
- Enables students to apply and match the proper processing technique to a given situation. ∙ Students will be in a position to exhibit the necessary design abilities for large collection sets. Additionally, capable of understanding and presenting cutting-edge, sophisticated NLP research materials to an audience.
Course Outcomes
| COs | Description |
| CO1 | Discern the concept of POS tagging and CFG for the English language. |
| CO2 | Cognize the Vector Representation of words and skip-gram models |
| CO3 | Explore semantic analysis algorithms and deep learning techniques, to apply them in various NLP applications. |
| CO4 | Acquainted with Mathematical and programming tools for implementing NLP applications. |
CO-PO Mapping
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CO |