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Predicting equity returns using Twitter sentiment
Muhlheim, Mitchell Dean
2013
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Record ID
16811
Record Created
2024-12-05
Title
Predicting equity returns using Twitter sentiment
Author
Muhlheim, Mitchell Dean
Contributor
Park, Cheolwoo
Advisor
Li, Kang
Committee Member
Wang, Lily
Committee Member
College or School
Franklin College of Arts and Sciences
Department
Statistics
Date
2013
Publisher
University of Georgia
Content Type
Thesis
Language
English
Dissertation/ Thesis Note
Graduate
Degree Type
Master of Science (MS)
Name of Granting Institution
University of Georgia, Spring 2013
Year Degree Granted
2013
Keywords
stock market prediction
;
sentiment analysis
;
twitter
;
mood
;
equity
Record Appears in
College, School, or Unit
>
Franklin College of Arts and Sciences
>
Statistics
Electronic Theses and Dissertations
>
Graduate Thesis
All Resources
System Control Number
9949333700502959
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