自然語言處理和文獻探勘
Natural Language Processing and Text Mining
| 節 | 週五 |
|---|---|
3 10:10–11:00 | 自然語言處理和文獻探勘 YR319 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This course introduces the concepts of natural language processing (NLP) and text mining. The applications of NLP and text mining are mentioned at the beginning. After that, basic concept from NLP, including name entity recognition, name entity relation recognition, information retrieval and information extraction. Then, more advance neural networks methods, including RNN, LSTM and GRU are introduced. Finally, generative AI and large language model (LLM) are incorporated in biomedical text mining project implementation.
Knowledge about artificial intelligence or machine learning (optional, not required).
This distance learning course will be taught in English with mostly asynchronous learning, partly synchronous learning and one classroom learning.
Class performance: 10% Learning Portfolio: 20% Quiz: 15% Homework assignment: 30% Final project: 25%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Natural Language Processing (NLP) (Synchronous Learning) |
| 第 2 週 | Peace Memorial Day. No Class. |
| 第 3 週 | Applications of NLP (Asynchronous Learning) |
| 第 4 週 | Name Entity Recognition (Asynchronous Learning) |
| 第 5 週 | Name Entity Relation Recognition (Asynchronous Learning) |
| 第 6 週 | Information Retrieval (Asynchronous Learning) |
| 第 7 週 | Children's Day. No Class. |
| 第 8 週 | Information Extraction (Asynchronous Learning) |
| 第 9 週 | Neural Networks in NLP–RNN, LSTM and GRU (Asynchronous Learning) |
| 第 10 週 | Generative AI (Asynchronous Learning) |
| 第 11 週 | Large Language Model (LLM) (Synchronous Learning) |
| 第 12 週 | Biomedical Text Mining (Asynchronous Learning) |
| 第 13 週 | Ontology for Medical Concept Representation (Asynchronous Learning) |
| 第 14 週 | Training in Pre-trained Models (Synchronous Learning) |
| 第 15 週 | Dragon Boat's Day. No Class. |
| 第 16 週 | Final Project Demonstration (Classroom Learning) |
1. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems. Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana . O'Reilly Media, 1st Edition, 2020 2. Python Text Mining: Perform Text Processing, Word Embedding, Text Classification and Machine Translation. Alexandra George. BPB Publications, 2022
- 地點
- Shou-Ren Building Room 306
- 時間
- Friday 1:30-3:30pm
- 聯絡方式
- +886-2-28267391