| |
Record |
Links |
|
Author  |
Jens Kersten; Anna Kruspe; Matti Wiegmann; Friederike Klan |
|
| |
Title |
Robust filtering of crisis-related tweets |
Type |
Conference Article |
| |
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
Filtering, Convolutional Neural Networks, Natural Disasters, Twitter, Model Transferability |
|
| |
Abstract |
Social media enables fast information exchange and status reporting during crises. Filtering is usually required to
identify the small fraction of social media stream data related to events. Since deep learning has recently shown to
be a reliable approach for filtering and analyzing Twitter messages, a Convolutional Neural Network is examined for
filtering crisis-related tweets in this work. The goal is to understand how to obtain accurate and robust filtering
models and how model accuracies tend to behave in case of new events. In contrast to other works, the application
to real data streams is also investigated. Motivated by the observation that machine learning model accuracies
highly depend on the used data, a new comprehensive and balanced compilation of existing data sets is proposed.
Experimental results with this data set provide valuable insights. Preliminary results from filtering a data stream
recorded during hurricane Florence in September 2018 confirm our results. |
|
| |
Address |
German Aerospace Center (DLR), Germany;Bauhaus-Universität Weimar |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
|
| |
Track |
T8- Social Media in Crises and Conflicts |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
1909 |
|
| Share this record to Facebook |
