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COSC 586 - Text Mining & Analysis |
This course covers various aspects and research areas in text mining and analysis. Text may be a document, query, blog, tag description, etc. The structure of the course is a combination of lectures & students presentations. The lectures will cover Text/Web/query classification, information extraction, word sense disambiguation, opinion mining & sentiment analysis, query log analysis, ontology extraction and integration, and more. The students are assigned a related topic in the field for further study and presentation in the class. 3.000 Credit hours 3.000 Lecture hours Levels: MN or MC Graduate, Undergraduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Levels: MN or MC Graduate Must be enrolled in one of the following Majors: Computer Science |
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