Startsida
Text Mining, 6 credits
The course aims to show how to textual data can be retrieved, linguistically pre-processed and subsequently analyzed quantitatively using formal statistical methods and models. The course brings together expertise from the areas of database methodology, computational linguistics and statistics. The course is a mix of theoretical concepts, computer exercises and a project work. Such concepts as information retrieval, tokenization, text clustering and prediction and many other concepts are studied in the course.
Language of instruction: English
Level: Master's level
Department offering the course: Department of Computer and Information Science
Contact: Lilian Alarik, 011-36 35 90, studievagledare-statistik@liu.se
Lotta Hallberg, 0734-618988, ann-charlotte.hallberg@liu.se
Specific admission requirements: For acceptance to the course, the student must have a bachelor’s degree with a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics, and computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Basic undergraduate courses in statistics and computer science are also required.
| Course information | ||
|---|---|---|
| Semester: Spring 2014 | ||
| Enrolment code: LIU- | ||
| Rate of study: Part-time | ||
| Campus: Linköping | ||
| Study Period: 201414 - 201423, 31 March-8 June 2014 | ||
| Course code: 732A47 | ||
| Tuition fee: 13 998 SEK | ||
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Last updated: Fri Jun 07 04:02:32 CEST 2013
