Graduate

Courses

Information and Library Science

Z639 Social Media Mining

Credits: 3

Prerequisite(s): Basic Unix Skills.

This course provides a graduate-level introduction to social media mining and methods. The course provides hands-on experience mining social data for social meaning extraction (focus on sentiment analysis) using automated methods and machine learning technologies. We will read, discuss, and critique claims and findings from contemporary research related to SMM.

Fall 2017


Instructor: Allen Riddell
Time: 9:30AM-12:15PM Mon
Location: LI002


Instructor: Vincent Quirante Malic
Time: Arranged
Location: WBWEB

  • Course History

      Spring 2017


      Instructor: Vincent Quirante Malic
      Instructor: Ashley Rachel Dainas
      Time: Arranged
      Location: Arranged


      Instructor: Allen Riddell
      Time: 9:30AM-12:15PM Mon
      Location: LI002

      Fall 2016


      Instructor: Allen Riddell
      Time: 9:30AM-12:15PM Mon
      Location: LI002


      Instructor: Vincent Quirante Malic
      Time: Arranged
      Location: Arranged

      Spring 2016


      Instructor: Muhammad Abdul-Mageed
      Time: Multiple Times
      Location: LI002
      Course URL (syllabus link or course homepage)
      Supplementary Description: With the increasing role social media platforms like Facebook, Twitter, YouTube, and Tumbler play in our lives today, the body of data generated by their users continues to grow phenomenally. Accordingly, searches and processing of social media data beyond the limiting level of surface words are becoming increasingly important to business and governmental bodies, as well as to lay web users. Detection of deception, gender, sarcasm, age, perspective, topic, etc. are important tasks we train on.

      Fall 2015


      Instructor: Muhammad Abdul-Mageed
      Time: Multiple Times
      Location: LI002
      Course URL (syllabus link or course homepage)