Social Media Analysis

Catalog description

Introduction to various text analysis methods for students to research social media content. Both theoretical and applied realms of text analysis with a focus on the application of text analysis in frontier research in social media studies are discussed. The course first introduces various social media collection methods, such as the use of API and web scraping algorithms. Then it proceeds to the pre-processing and manipulation of social media data. Following are introduced various methods and algorithms for analyzing social media data, including text classification, clustering, topic modeling, sentimental analysis, and more. The course also discusses various tools for handling text data in different languages. Further, frontier social media research for students to better understand the application of text analysis in social sciences are explored. Instructions on the use of Python language and opportunities for students to perform hands-on, self-directed social media analysis projects are provided. Prerequisite(s): SECR 7605 and SECR 7606 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 Contact Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal (A, B, C, D, F) Degree Restrictions: Doctor of Philosophy Schedule Type (Primary): Lecture Schedule Type (Additional): Seminar Small Group Click here for the Schedule of Classes.