Text Mining and Unstructured Data

This course introduces techniques for extracting insights from unstructured textual, visual, audio and video data. Students will learn text mining tools to analyze patterns in textual corpora, as well as acquire skills for organizing and making sense of other unstructured data types. Topics include, but are not limited to, text mining algorithms like classification, clustering, and sentiment analysis, Web scraping and collection of online text data, audio and video feature extraction techniques, as well as image classification and object recognition. Through hands-on assignments and projects, students will gain practical experience applying text mining, computer vision, and other unstructured data analysis techniques on real-world datasets.

GR - Graduate

N - Course May Not Be Repeated