CSC 149 - Introduction to Text Mining

Semester Hours: 3

The course covers techniques used in text retrieval and text analysis applications such as search engines, text categorization and clustering, topic extraction, summarization, sentiment analysis. Topics include: natural language processing techniques for extracting relevant terms out of text data, vector space and probabilistic methods for computing similarity between documents, document ranking, clustering and classification methods for text analysis.

Prerequisite(s)/Course Notes:
CSC 017 , basic knowledge of linear algebra (matrix and vector computations).

View Course Offering(s):

Summer I 2025

Summer II 2025

Summer III 2025

Fall 2025