Text Mining & Media Analysis (2 Credits)

Learning Outcomes:

Upon successful completion of this course, students are expected to be able to: explain fundamental concepts of text mining and how they apply to media content analysis, apply basic text mining techniques such as keyword extraction, sentiment analysis, and word frequency analysis to media texts, and analyze patterns and trends in media content using text mining tools to derive audience and communication insights.

Topics:

Introduction to Text Mining, Types of Media Texts, Text Data Collection Methods, Text Cleaning and Preprocessing, Word Frequency and N-Gram Analysis, Keyword Extraction Techniques, Sentiment Analysis Basics, Topic Modelling, Introduction to Media Discourse, Case Studies: News Media & Social Media Analysis, Using Tools for Text Mining.