CSC 249 - Text Mining
Semester Hours: 3
PeriodicallyThis course focuses on text retrieval and analysis algorithms as applied to search engines, text categorization and clustering, topic extraction, summarization, and sentiment analysis. Topics include NLP methods for similarity, vector space and probabilistic methods for inter-document similarity, document ranking, and clustering and classification methods for text analysis. In addition, the course will survey major contemporary research directions in information retrieval.
Prerequisite(s)/Course Notes:
Course open to graduate students in computer science, others need permission from computer science graduate director.
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