NATURAL LANGUAGE PROCESSING (2 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to: Describe what is Natural Language Processing and its components; Explain fundamental concepts of how to work with Natural Language Processing; Apply Natural Language Processing concepts in certain real-world applications; Construct Natural Language Processing applications.
Topics:
- Language and Computation
- N-Grams and Part-of-Speech
- Corpus
- Naive Bayes & Sentiment Classification
- Classification & Logistic Regression
- Vector Semantics & Embeddings
- Progress Project Presentation
- Neural Networks & Neural Language Models
- Constituency Grammars & Parsing
- Dependency Parsing
- Semantic Role Labeling
- Chatbots
- Final Project Presentation
SOCIAL MEDIA
Let’s relentlessly connected and get caught up each other.
Looking for tweets ...