School of Business

    INFO 691 Special Topic:
    Text Mining and Ontologies

    Spring 2020

    Wednesdays 4:00 p.m. to 6:40 p.m.
    Dr. Victoria Yoon

    This course introduces the various techniques of text mining and analytics to extract valuable insights from textual data and for representing the semantics of textual information in the form of ontology to support the decision-making process. This course provides hands-on coverage of text mining and ontology application development using Python, Protege, SPARQL and others.  
     
    Learning Objectives:
    Upon the successful completion of this course, students will be able to 
    • design and build text mining systems for analyzing large collections of documents with Python
    • develop ontologies for representing the semantics of textual information with Python and Protege
    • automatically retrieve information from ontology using SPARQL
    Topics to be covered:
    • Natural Language Processing  
    • Text Categorization and Clustering
    • Sentiment Analysis  
    • Social Network and Social Media Analysis
    • Topic Model
    • Ontology Development
    • SPARQL (ontology query language)
    Prerequisites: INFO 364 or equivalent required, INFO 610 preferred. Python will be covered in class.
     
    Please email all inquiries to Dr. Victoria Yoon at vyyoon@vcu.edu