NTU Course
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Introduction to Information Retrieval and Text Mining

Offered in 112-1

  • Serial Number

    82127

  • Course Number

    IM5030

  • Course Identifier

    725 U3410

  • No Class

  • 3 Credits

  • Elective

    DEPARTMENT OF INFORMATION MANAGEMENT / GRADUATE INSTITUTE OF INFORMATION MANAGEMENT / PROGRAM FOR KNOWLEDGE MANAGEMENT / Business Analytics Program

      Elective

    • DEPARTMENT OF INFORMATION MANAGEMENT

    • GRADUATE INSTITUTE OF INFORMATION MANAGEMENT

    • PROGRAM FOR KNOWLEDGE MANAGEMENT

    • Business Analytics Program

  • CHIEN CHIN CHEN
  • Mon 2, 3, 4

  • 管二301

  • Type 2

  • 100 Student Quota

    NTU 100

  • Specialization Program

    Data Analysis

  • Chinese
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes
    The course is conducted in Chinese but uses English textbook。
  • Limits on Course Adding / Dropping

    • Restriction: juniors and beyond

  • NTU Enrollment Status

    Enrolled
    0/100
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    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, INCLUDING THE MANNER OF DOCUMENT REPRESENTATION, TERM WEIGHTING, AND EVALUATION METRICS USED TO COMPARE INFORMATION RETRIEVAL SYSTEMS. THEN, RESEARCH TOPICS, SUCH AS TEXT CLASSIFICATION AND CLUSTERING, WILL BE DISCUSSED TO PROVIDE A COMPREHENSIVE STUDY ON INFORMATION RETRIEVAL AND TEXT MINING.
  • Course Objective
    THIS COURSE MAY COVER THE FOLLOWING CONTENTS: ‧ TERM VOCABULARY ‧ TERM WEIGHTING AND VECTOR SPACE MODEL. ‧ EVALUATION IN INFORMATION RETRIEVAL. ‧ RELEVANCE FEEDBACK AND QUERY EXPANSION. ‧ PROBABILISTIC INFORMATION RETRIEVAL. ‧ LANGUAGE MODELS FOR INFORMATION RETRIEVAL. ‧ TEXT CLASSIFICATION AND NAIVE BAYES. ‧ VECTOR SPACE CLASSIFICATION. ‧ FLAT CLUSTERING. ‧ HIERARCHICAL CLUSTERING. ‧ WEB SEARCH BASICS. ‧ WEB CRAWLING AND INDEXES. ‧ LINK ANALYSIS. ‧ OTHER RESEARCH ISSUES IN TEXT MINING.
  • Course Requirement
  • Expected weekly study hours after class
  • Office Hour
  • Designated Reading
  • References
    CHRISTOPHER D. MANNING, PRABHAKAR RAGHAVAN, AND HINRICH SCHUTZE, "INTRODUCTION TO INFORMATION RETRIEVAL," CAMBRIDGE UNIVERSITY PRESS. 2008.
  • Grading
  • Adjustment methods for students
  • Make-up Class Information
  • Course Schedule