Text Mining and Applied Project Formulation

Synopsis

ANL312 Text Mining and Applied Project Formulation covers Text Mining as well as topics related to the formulation of the Applied Project such as Applied Project Research and report writing. The aim of this course is to broaden students' exposure to the breadth and depth of text mining and its applications and also to enable the students to carry out a prototype of the Applied Project so that they are more prepared for the Applied Project. Specific software will be used intensively in the course to provide hands-on applications of the topics covered.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

Applied Project Research
Applied Project Report Writing
Overview of Text Mining
Data Preparation: Parsing and Feature Extraction
Text Transformation: Term-by-Document matrix, Frequency weightings, term weightings, document filtering
Bag of Words Approach
Text Mining using Predictive Modeling
Entity Extraction
Document Classification
Document Clustering
Topic Extraction: singular value decomposition
Sentiment analysis and Opinion missing

Learning Outcome

Discuss text mining concepts and the various applications of text mining
Evaluate the usefulness of several text specific transformation techniques (e.g., Zipf's Law and term-by-document matrix)
Explain the process of document clustering, latent semantic indexing and topic extraction
Compare the different approaches to text mining
Apply clustering, singular value decomposition, latent semantic indexing and topic extraction
Implement the various approaches to text mining using appropriate text mining software
Propose an appropriate research topic for an analytics applied project
Construct a prototype as part of an applied project development
Draft and submit a report on the prototype of the Applied Project

Full-time Programmes Part-time Programmes / CET Courses

Singapore University of Social Sciences

Text Mining and Applied Project Formulation