Singapore University of Social Sciences

Text Mining and Applied Project Formulation

Text Mining and Applied Project Formulation (ANL312)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1391.78 View More Details on Fees

Area of Interest: Business Administration

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Business

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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 ProgrammesPart-time Programmes / CET Courses
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