Instructor:
Soohyung Joo
690
Credits:
3.0
206
Building:
TBD
Room:
TBD
Semester:
Fall 2024
Start Date:
End Date:
Name:
Sp Tp Lis: App Txt Anly For Info Prfssnl
Class Type:
LEC
TBD
TBD
Days:
TBD
Note:
"This course is intended as an introduction to the concepts and methods of text mining, with a primary focus on applications of machine learning techniques. Topics covered in this course will include: natural language processing, document representation, text clustering and classification, document summarization, sentiment analysis, probabilistic topic models, artificial neural network, and others. Students will gain extensive hands-on experience of analyzing large-scale unstructured text using Python toolkits. This course will also explore various cases of text mining applications in real-world domains, such as knowledge organization, computational social sciences, business intelligence, and digital humanities. This course will use intermediate level Python programming: Therefore, it is suggested that students will have completed LIS/ICT 661, LIS/ICT 662 or prior experience with any programming language.."
Intensive study of one aspect of library and information science under the leadership of an authority in the area.
Intensive study of one aspect of library and information science under the leadership of an authority in the area.
LIS