CS 5246 - Text Processing and the Web

This web page describes a past class. Please follow this link to find the current course instance. Thanks! -M

We will be using the Integrated Virtual Learning Environment (IVLE) for forum discussions, announcements, and other temporally-sensitive materials. Basic course administration, lecture and tutorial notes will be available on this publicly-accessible webpage.

Course Calendar

See the syllabus page for class notes and topics covered -- the schedule above will show the most up-to-date schedule for the class. I will try to announce any changes in class scheduling through IVLE.

Module Aims and Objectives: A huge quantity of information is available on the web and the amount is increasing every day. Most on the web information is still currently in the form of free text encoded in HTML and PDF formats. A growing trend is towards high-level and semantic encoding of such textual information in the form of XML, and towards the integration of wired and wireless web environments.

There is a need to classify and summarize this information for display on wide variety of devices with wide ranging processing power and display capabilities, such as PCs and mobile phones.

We need to develop tools to process and manage such information effectively. This module introduces the concepts and techniques for the analysis, representation, retrieval, classification and summarization of unstructured textual information. By the end of this course, students should have the expertise and competence to design and implement text processing and mining systems and search engines on the web.

Course Characteristics:

Modular credits: 4.
Prerequisites:
- CS 3242 Hypermedia Technologies: this pre-requisite is not enforced for postgraduate students.
- This course does require programming competency and some familiarity with the Unix/Linux environment in its assignments. You are required to have this knowledge as a prerequisite.
Teaching Staff: Min-Yen Kan, kanmy@comp.nus.edu.sg. Office: S15 05-05 (x1885). Office hours Monday 5:00-6:00 pm (before class, starting on Week 3). Emails to me as a default are assumed to be public, and my replies and your anonymized email will be posted to IVLE. Please let me know if you do not want the contents of your email posted; I will be happy to honor your requests.
Workload: 2 lecture hours, 8 hours preparation per week. Occasional tutorials will be offered on subjects, timing TBA. We will try to get lectures archived (they won't be broadcasting it live). See IVLE or ask the webcast technicians for help if you have trouble accessing the webcast.
Textbooks: Two course packs (1st half of the course / 2nd half of the course) which contain the lecture readings outside of the textbook has been prepared for you, it will be on sale at the NUS Co-Op (Forum branch) by the start of the course. We will be reading the following textbook for most of the first half of the course.
- Baldi, Frasconi and Smyth (2003) Modeling the Internet and the Web: Probabilistic Methods and Algorithms. Wiley, ISBN: 0-470-84906-1 (http://ibook.ics.uci.edu). This book will be put into the Central Library RBR. You can also buy a copy of it from NUS Co-op (LT 27 Branch; not the same branch as the Forum)
  [ .Check LINC for this book ]
We will be reading primary materials (e.g., recent conference papers) for the second half textbook sources. You should have quick access to the rest of the texts, in order of relevance to the course:
1. Manning, Schuetze, and Raghavan (c. 2007) Introduction to Information Retrieval (http://www-csli.stanford.edu/~schuetze/information-retrieval-book.html). Cambridge Univ. Press. Practically the whole book is online, thanks to the authors at Stanford Univ. This textbook is not yet officially published and the material is still changing. Expect some confusion with versions when dealing with this book.
2. Baeza-Yates and Ribeiro-Neto (1999) Modern Information Retrieval. A well-respected and often used IR retrieval book for teaching the fundamentals of IR, slightly dated but well-written holistic overview of IR. This textbook is in Central Library RBR.
  [ .Check LINC for this book ]

Note to NUS-external visitors: Welcome! If you're a fellow course instructor looking for lecture material, you can see the syllabus menu item on the left for a preview. Please contact me if you'd like to use any of my material. Thanks!

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Min-Yen Kan <kanmy@comp.nus.edu.sg> Fri Jul 14 12:08:53 GMT-8 2006 | Version: 1.0 | Last modified: Sun Jul 13 15:35:37 2008

CS 5246 - Text Processing and the Web

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