Text and Web Content Mining

Learning outcomes

Having successfully completed this module, the student will be able to:

• Demonstrate an awareness and critical understanding of ways to extract key concepts and relationships from semistructured and unstructured text, and structure them for data mining.
• Discuss current research activities relating to text analytics and web content mining.
• Understand limitations of current information extraction techniques and the vision for the future.
• Extract key concepts and relationships from semi-structured and unstructured data.
• Apply prediction and clustering techniques to the prepared data, and critically evaluate the results.
• Independently research current trends and developments relating to the processing of semi-structured unstructured

Indicative module assessment

• Literature reviews and analysis covering a range of topics relevant to the module
• Work through all stages of a text analytics project life cycle using an appropriate text mining tool.
• Compile a unique data set by applying web crawling strategies and implementations. Once the data have been obtained, an appropriate analysis technique such as visualisation, classification, association rules or clustering must to be applied.