1020 - 自然語言處理
Natural Language Processing
教育目標 Course Target
本課程將從基本概念出發,逐步介紹中文分詞、詞性標註、命名實體識別、資訊抽取、文字聚類、文字分類、句法分析等演算法原理與工程實作。透過計對多種演算法的講解和實作,比較各自的優缺點和適用場景。籍由理論及實作結合,學生可以逐步學習,從入門到熟悉自然語言處理,充分掌握程式碼,可以應用於實際專案。
This course will start from basic concepts and gradually introduce the principles and engineering implementation of algorithms such as Chinese word segmentation, part-of-speech tagging, named entity recognition, information extraction, text clustering, text classification, and syntactic analysis. Through the explanation and implementation of various algorithms, the advantages, disadvantages and applicable scenarios of each are compared. By combining theory and practice, students can learn step by step, from getting started to becoming familiar with natural language processing, and fully master the program code, which can be applied to actual projects.
參考書目 Reference Books
ChatGPT超級應用:讓AI幫你處理課業、生活、職場大小事
吳燦銘 著
博碩文化出版
ChatGPT super application: let AI help you handle schoolwork, life, and workplace matters
Written by Wu Canming
Boshuo Culture Publishing
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
期中考 midterm exam |
30 | |
課堂練習與作業 Class exercises and assignments |
40 | |
專題實作 Special topic implementation |
30 |
授課大綱 Course Plan
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相似課程 Related Courses
課程代碼 Course Code |
課程名稱 Course Name |
授課教師 Instructor |
時間地點 Time & Room |
學分 Credits |
操作 Actions |
---|---|---|---|---|---|
選修-5515
|
共選修3,4,碩博1,2 高宏宇/工院教師 | 二/5,6,四/5[遠距課程] | 3-0 | 詳細資訊 Details |
課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1020
- 學分 Credit: 3-0
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上課時間 Course Time:Wednesday/7[ST338] Wednesday/8,9[ST436]
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授課教師 Teacher:廖元勳
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修課班級 Class:資工系2-4
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選課備註 Memo:人工智慧學群課程
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