Brief Course Description
1. Course Title:
Natural Language Processing
2. Language of Instruction:
Tiếng Việt
3. Course Code:
INT547032
4. Credits:
3
5. Course Objectives:
"The Natural Language Processing (NLP) course provides students with fundamental and advanced knowledge of NLP methods, techniques, and applications. Students will:
Understand the basic concepts of natural language and the challenges of processing it with computational methods.
Master text preprocessing techniques such as tokenization, stemming, lemmatization, and text vectorization.
Apply modern language models like Word2Vec, BERT, and GPT to NLP tasks.
Solve practical problems such as text classification, sentiment analysis, information extraction, and machine translation.
Use popular tools and libraries like NLTK, SpaCy, TensorFlow, and PyTorch to build and deploy NLP applications."
6. Brief Description of Course Content:
Equip students with basic knowledge of computational linguistics and specialized knowledge of natural language processing. At the same time, provide students with libraries that support natural language processing.