課程大綱

課程資訊

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系
授課教師	陳建錦
課號	IM5030
課程識別碼	725 U3410
班次
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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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
Office Hours
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.
評量方式 (僅供參考)

課程進度

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