Social Media Text Analysis

Catalog description

Introduces various text analysis concepts and methods for social media studies. This field includes a collection of research from the natural language processing, data mining, and machine learning communities. Topics include: various social media data collection methods such as the use of API and web scraping, data manipulation, text data preprocessing, text analysis algorithms, text classification, clustering, topic modeling, sentimental analysis, and text visualization. Also examined are various methods and tools for handling text data in different languages. Further, frontier research on social media studies for students to better understand the application of text analysis is explored. Lastly, instructions on the use of Python language and opportunities for students to perform hands-on, self-directed text analysis projects are provided. Lecture Hours: 3 Contact Hours: 80 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Major Restrictions: INSC- Intelligence & Security Studies Schedule Type (Primary): Asynchronous Instruction Click here for the Schedule of Classes.