COMP42115: Natural Language Analysis

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• To introduce students to cutting-edge techniques for automated analysis of textual data and their applications

• Preparation of textual data for machine learning
• Advanced machine learning techniques for natural language analysis
• Application of natural language analysis techniques within business analytics e.g. sentiment analysis, social media analysis

Subject-specific Knowledge:

• By the end of this module, students should:
• have a critical appreciation of how natural language texts can be effectively represented for machine learning
• have an advanced understanding of automated natural language analysis through machine learning
• understand how natural language analysis can be applied effectively within business analytics

Subject-specific Skills:

• By the end of this module, students should be able to:
• prepare natural language texts for machine learning
• train a machine learning application based on real textual data

Key Skills:

• Effective written communication
• Planning, organising and time-management
• Problem solving and analysis
• Reflecting and synthesising from experience

• Learning outcomes are met through classroom-based workshops, supported by online resources. The workshops consist of a combination of taught input, group work, case studies, discussion and computing labs. Online resources provide preparatory material for the workshops typically consisting of directed reading and video content.
• The summative assessment is an individual written assignment based on the development of a program to analyse a real natural language data set. This is designed to test students skills in problem identification, their theoretical understanding, and their ability to analyse the situation in order to categorise the potential solutions.

A range of formative assessment methods will be used, including case study based exercises, group presentations and group discussions, simulation exercises and business games designed to prepare students for the summative business report. Oral and written feedback will be provided on an individual and/or group basis as appropriate.

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