2017

Conférence

ISCRAM-med 2017

The increasing crisis frequency and the growing impact of their damages require efficient crisis management processes in order to manage crisis effectively and reduce losses. In such context, the need of accurate and updated information about crises is extremely important. In recent years, crisis information has frequently been provided by social media platforms such as Twitter, Facebook, Flickr, etc. In fact, considering the huge amount of shared information, their precision and their real time characteristic, organizations are moving towards the development of crisis management applications that include information provided by social media platforms. Following this view, the main purpose of our work is to propose a framework for Tunisian tweets extraction and analysis. More precisely, we provide an architecture that includes necessary components and tools for Tunisian dialect treatment. The proposed architecture is an extension on the existing AIDR platform. In addition, we specify the functioning of the proposed architecture to enable firstly terms transliteration from Arabic to Latin alphabet, secondly their normalization and finally their translation in order to be treated by existing social media analysis platform.

@inproceedings{DBLP:conf/iscram-med/SassiTG17,
  author       = {Jihene Sassi and
                  In{\`{e}}s Thabet and
                  Khaled Gh{\'{e}}dira},
  editor       = {Ioannis M. Dokas and
                  Narj{\`{e}}s Bellamine Ben Saoud and
                  Julie Dugdale and
                  Paloma D{\'{\i}}az},
  title        = {A Framework to Support Tunisian Tweets Analysis for Crisis Management},
  booktitle    = {Information Systems for Crisis Response and Management in Mediterranean
                  Countries - 4th International Conference, ISCRAM-med 2017, Xanthi,
                  Greece, October 18-20, 2017, Proceedings},
  series       = {Lecture Notes in Business Information Processing},
  volume       = {301},
  pages        = {17--27},
  publisher    = {Springer},
  year         = {2017},
  url          = {https://doi.org/10.1007/978-3-319-67633-3\_2},
  doi          = {10.1007/978-3-319-67633-3\_2},
  timestamp    = {Fri, 26 Aug 2022 09:08:47 +0200},
  biburl       = {https://dblp.org/rec/conf/iscram-med/SassiTG17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}