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Proposer
Jessica Chen-Burger
Title
Sentiment Analysing Twitter data for stock market trends (research project)
Goal
To analyse twitter data for stock market trends
Description
To analyse twitter data for stock market trends, normally no programming is necessary, sentiment analysis tools will be used. You can also decide to use ML methods, or hybrid methods. Two different approaches are available: 1. SA tool evaluation, 2. SA tool improvements. If you are interested in this project, please text me using Teams.
Resources
SA and/or ML tools
Background
stock market index, data anlaysis, natural language processing, machine learning algorithms
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
8
Supervisor
Jessica Chen-Burger
Keywords
sentiment analysis, stock market investment, natural language processing
Degrees
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Software Engineering
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