This module aims to give students insight into network and unstructured data types such as natural language and text, as well as state-of-the-art approaches to map and analyse these data. Insights and techniques gained in this module will allow students to approach real-world problems in marketing (Who are the main influencers among our customers?), management (Can we identify new discourses in the communication within our organisation?) or business economics (Can language patterns be used to understand R&D intensity across companies).
Upon completion, students will have built a solid knowledge foundation within network theory and analysis, computational linguistics and broader (unstructured) data processing. The module is application-focused, and thus students will gain a variety of skills to utilise relational and unstructured text data for analysis purposes.
The objective is that the student after the module possesses the necessary knowledge on:
The objective is that the student after the module possesses the necessary skills in:
The objective is that the student after the module possesses the necessary competences in:
For information see § 17.
|Name of exam
|Natural Language Processing and Network Analysis
|Type of exam
Oral examIndividual examination.
|7-point grading scale
|Type of grading
|Criteria of assessment
|The criteria of assessment are stated in the Examination Policies and Procedures
|Natural Language Processing og netværksanalyse
|Language of instruction
|Location of the lecture
|Responsible for the module
|Study Board of Economics and Business Administration
|Aalborg University Business School
|Faculty of Social Sciences and Humanities