Loading...
Trouble on the road: Finding reasons for commuter stress from tweets
Gopalakrishna Pillai, Reshmi Thelwall, Mike
Gopalakrishna Pillai, Reshmi
Thelwall, Mike
Editors
Other contributors
Affiliation
Epub Date
Issue Date
2018-11-30
Submitted date
Subjects
Alternative
Abstract
Intelligent Transportation Systems could benefit from harnessing social media content to get continuous feedback. In this work, we implement a system to identify reasons for stress in tweets related to traffic using a word vector strategy to select a reason from a predefined list generated by topic modeling and clustering. The proposed system, which performs better than standard machine learning algorithms, could provide inputs to warning systems for commuters in the area and feedback for the authorities.
Citation
Pillai, R. G., Thelwall, M. and Orasan, C. (2018) Trouble on the road: Finding reasons for commuter stress from tweets, Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG), 5th November 2018, Tillburg, Netherlands, pp. 20-25.
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Additional Links
Type
Conference contribution
Language
en
Description
Series/Report no.
ISSN
EISSN
ISBN
9781948087889