View Proposal

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. Two different approaches are available: 1. SA tool evaluation, 2. SA tool improvements.
Resources
Background
stock market index, data anlaysis, natural language processing
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
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)
Back to List