Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences
Abstract
Twitter is a popular social media platform where users publicly broadcast short messages on a myriad of topics. In recent years it has enjoyed an increased usage around disaster events due to availability of information in near real time. Additionally, enhanced information representations to facilitate the classification of social media in terms of relevancy and type of information is currently a highly active research area (Ashktorab et al., 2014, Imran et al., 2014, Win et al., 2018). In this work we consider the usefulness and reliability of a range of representation models in the analysis of disaster related social media.
DOI
https://10.13140/RG.2.2.26456.24322
Recommended Citation
Jain, P., Schoen-Phelan, B. & Ross, R.J. (2019). Comparative Study of Feature Representations for Disaster Tweet Classification. 16th International Conference on Information Systems for Crisis Response and Management, València, Spain, May 2019. doi:10.13140/RG.2.2.26456.24322
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Publication Details
16th International Conference on Information Systems for Crisis Response and Management, València, Spain May 2019