Citation Link: https://nbn-resolving.org/urn:nbn:de:hbz:467-14567
Zusammenhang von Twitter-Stimmung und DAX : DAX-Vorhersage mit Twitter?
Source Type
Doctoral Thesis
Author
Issue Date
2019
Abstract
This work predicts the DAX with German and English Twitter user sentiments. A new model is 80% accurate when predicting the DAX with a lag of 6 days. This is accomplished by selecting user sentiments by combining statistical methods. The prediction with user sentiments is superior to the prediction with total sentiments of all users and even to topic-based sentiment prediction.
File(s)![Thumbnail Image]()
Loading...
Name
Dissertation_Julian_Schroeter.pdf
Size
3.51 MB
Format
Adobe PDF
Checksum
(MD5):3ff5a186b49ce8b524eda8537fdb7cba
Owning collection