Social Media Mining

AY2019/2020 Semester 1

Students learn specialised techniques for mining text, including how to prepare textual data for analysis and carry out techniques including sentiment analysis and opinion mining. The emphasis is on using these tools in real world applications to answer research questions, gain insights for journalistic reporting, or generate information for clients. Strengths, weaknesses, and concerns such as privacy are also discussed throughout. Course Content Principles and concepts of text mining. Various text mining techniques: Pre-processing for Text Mining, Text Categorization, Document Clustering, Information Retrieval, Information Extraction, Opinion Mining and Sentiment Analysis, and Question Answering. Practical use of text mining to real world applications, such as Text Message Spam Detection and Sentiment Analysis Systems analyzing public opinion towards various subjects, such as electronic gadgets, movies, stocks, etc., using social media content.