Last modified: 25 Mar 2016 11:39
An abundance of textual information is available on the Internet. As it is dispersed over web pages, it is difficult to extract the information and understand its overall meaning. In this course, students will learn information extraction and text mining theory and techniques, corpus construction, and programming tools (e.g. NLTK and GATE) in order to extract and structure information from text. The emphasis is hands-on and realistic. Using the techniques and tools, students will be able to start to unlock the economic, cultural, and social value of web-based textual information, gaining valuable skills in an expanding market.
Study Type | Postgraduate | Level | 5 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Old Aberdeen | Sustained Study | No |
Co-ordinators |
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Information on contact teaching time is available from the course guide.
1st Attempt: 1 two-hour written examination (75%); continuous assessment (25%)
Resit: Will be available
There are no assessments for this course.
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