Web Search and Text Analysis
Subject COMP90042 (2012)
Note: This is an archived Handbook entry from 2012.
Credit Points: | 12.50 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2012: Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 24 one-hour lectures (two-per week), 12 one-hour workshops (one-per week. Total Time Commitment: 120 hours. | ||||||||||||
Prerequisites: | One of the following: Subject Study Period Commencement: Credit Points: | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: |
433-460 Human Language Technology | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website:http://www.services.unimelb.edu.au/disability/ |
Coordinator
Assoc Prof Steven BirdContact
Associate Professor Tim Baldwin
email: tbaldwin@unimelb.edu.au
Subject Overview: |
The web is a vast and expanding storehouse of semi-structured textual information. Accessing and processing this information is one of the major challenges of the information age. In this subject, students study the technologies behind search engines, spam filtering, plagiarism detection, information extraction, question answering and newly emerging fields of information engineering. Topics include: web indexing, query evaluation, probabilistic language modelling, document classification and filtering, grammar and spelling correction, topic detection, cross-language information retrieval, machine translation and summarisation. |
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Objectives: |
On completion of this subject students should be able to:
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Assessment: |
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On completion of this subject students should have the:
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Related Course(s): |
Bachelor of Computer Science (Honours) Master of Engineering in Distributed Computing Master of Science (Computer Science) Master of Software Systems Engineering |
Related Majors/Minors/Specialisations: |
B-ENG Software Engineering stream Computer Science Master of Engineering (Software) |
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