View Proposal
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Proposer
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Jessica Chen-Burger
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Title
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Sentiment Analysing Twitter data for stock market trends (research project)
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Goal
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To analyse twitter data for stock market trends
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Description
- To analyse twitter data for stock market trends, normally no programming is necessary, sentiment analysis tools will be used. Two different approaches are available: 1. SA tool evaluation, 2. SA tool improvements.
- Resources
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Background
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stock market index, data anlaysis, natural language processing
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Url
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Difficulty Level
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High
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Ethical Approval
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None
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Number Of Students
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8
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Supervisor
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Jessica Chen-Burger
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Keywords
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sentiment analysis, stock market investment, natural language processing
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computer Systems Management
Master of Science in Data Science
Master of Science in Information Technology (Business)