課程名稱 |
資訊檢索與文字探勘導論 Introduction to Information Retrieval and Text Mining |
開課學期 |
103-1 |
授課對象 |
管理學院 資訊管理學研究所 |
授課教師 |
陳建錦 |
課號 |
IM5030 |
課程識別碼 |
725 U3410 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期二2,3,4(9:10~12:10) |
上課地點 |
管二305 |
備註 |
本課程中文授課,使用英文教科書。 限學士班三年級以上 總人數上限:25人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1031IRTM |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This course will cover the concepts and algorithms of information retrieval and text mining. Theoretical topics, including term extraction, term weighting, vector space model, binary independence model, language model, IR system evaluations, naive bayes classification, Rocchio classification, kNN, k-means, HAC, PageRank, and HITS, will be presented in this course. Meanwhile, programming assignments and term projects will be given to help students understand the development of an IR system. |
課程目標 |
The course is aimed at graduate students or senior undergraduate students who are interested in information retrieval and text mining. The first part of the course will cover the basics of information retrieval. Then, research topics, such as text classification and clustering, will be discussed to provide a comprehensive study on information retrieval and text mining. |
課程要求 |
Programming language, data structure, and probability. |
預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
參考書目 |
Christopher D. Manning and Hinrich Schutze, Foundations of Statistical Natural
language Processing, The MIT Press, 1999.
William B. Frakes and Ricardo Baeza-Yates, Information Retrieval — Data
Structures and Algorithms, Prentice Hall, 1992.
Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval,
Addison Wesley, 1999.
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評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
第1週 |
9/16 |
The Term Vocabulary |
第2週 |
9/23 |
The Term Vocabulary<BR>
PAT Tree and Chinese Keyword Extraction<BR>
*** Programming Assignment 1 |
第3週 |
9/30 |
PAT Tree and Chinese Keyword Extraction<BR>
Scoring, Term Weighting and the Vector Space Model |
第4週 |
10/07 |
Scoring, Term Weighting and the Vector Space Model<BR>
Evaluation in Information Retrieval<BR>
*** Programming Assignment 2 |
第5週 |
10/14 |
Evaluation in Information Retrieval<BR>
Probabilistic Information Retrieval |
第6週 |
10/21 |
Probabilistic Information Retrieval |
第7週 |
10/28 |
Language Models for Information Retrieval |
第8週 |
11/04 |
Language Models for Information Retrieval |
第9週 |
11/11 |
Midterm |
第10週 |
11/18 |
Link Analysis |
第11週 |
11/25 |
Link Analysis<BR>
Text Classification and Naive Bayes |
第12週 |
12/02 |
Text Classification and Naive Bayes |
第13週 |
12/09 |
Vector Space Classification <BR>
** Programming Assignment 3 |
第14週 |
12/16 |
Hierarchical Clustering |
第15週 |
12/23 |
Hierarchical Clustering <BR>
Flat Clustering |
第16週 |
12/30 |
Flat Clustering<BR>
** Programming Assignment 4 |
第17週 |
1/06 |
Flat Clustering<BR>
Topic Detection and Incremental Clustering |
第18週 |
1/13 |
Final |
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