Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aldewereld, H., Tranier, J., Dignum, F., Dignum, V.: Agent-based crisis management. In: Guttmann, C., Dignum, F., Georgeff, M. (eds.) CARE 2009-2010. LNCS, vol. 6066, pp. 31–43. Springer, Heidelberg (2011). doi:10.1007/978-3-642-22427-0_3
Vieweg, S., Hughes, A.L., Starbird, K., Palen, L.: Microblogging during two natural hazards events what twitter may contribute to situational awareness. In: CHI 2010, Crisis Informatics, Atlanta, GA, USA (2010)
Cameron, M.A., Power. A., Robinson, B., Yin, J.: Emergency situation awareness from twitter for crisis management. In: Proceeding Conference on World Wide Web (WWW) (2012)
Imran, M., Elbassuoni, S., Castillo, C., Diaz, F., Meier, P.: Extracting information nuggets from disaster related messages in social media. In: Proceeding of ISCRAM, Baden-Baden, Germany (2013)
Qu, Y., Huang, C., Zhang, P., Zhang, J.: Microblogging after a major disaster in China: a case study of the 2010 Yushu Earthquake. In: Proceeding of CSCW (2010)
Caragea, C., McNeese, N., Jaiswal, A., Traylor, G., Kim, H.W., Mitra, P., Wu, D., Tapia, A., Giles, L., Jansen, B., Yen, J.: Classifying text messages for the Haiti earthquake. In: Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2011) (2011)
Abel, F., Hauff, C., Houben, G.J., Stronkman, R., Tao, K.: Semantics + filtering + search = twitcident. exploring information in social web streams. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, Wisconsin, USA, pp. 285–294 (2012)
Imran, M., Castillo, C., Lucas, J., Meier, P., Vieweg, S.: AIDR: artificial intelligence for disaster response. In: Proceedings of the 23rd International Conference on World Wide Web (WWW). Seoul, Korea, pp. 159–162 (2014)
Diab, M., Habash, N.: Arabic dialect processing tutorial. In: Proceedings of the Human Language Technology Conference of the NAACL, pp. 5–6 (2007)
LAMDA Learning And Mining from DatA. http://lamda.nju.edu.cn/seminar_150717.ashx?AspxAutoDetectCookieSupport=1
Boyd, D., Ellison, N.B.: Social network sites: definition, history, and scholarship. J. Comput.-Mediated Commun., 210–230 (2007)
Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: an analysis of a microblogging community. In: Zhang, H., Spiliopoulou, M., Mobasher, B., Giles, C.L., McCallum, A., Nasraoui, O., Srivastava, J., Yen, J. (eds.) SNAKDD/WebKDD -2007. LNCS, vol. 5439, pp. 118–138. Springer, Heidelberg (2009). doi:10.1007/978-3-642-00528-2_7
Huberman, B.A, Romero, D.M, Wu, F.: Social Networks that Matter: Twitter Under the Microscope. ArXiv E-Prints (2008)
Kwak, H., Lee, C., Park, H., Moon. S.: What is twitter, a social network or a news media?. In: Proceeding 19th International Conference World Wide Web (WWW 2010), pp. 591–600 (2010)
Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: conversational aspects of retweeting on twitter. In: Proceeding of 43rd Hawaii International Conference System Sciences (HICSS-43) (2010)
Tumasjan, A., Sprenger, T.O, Sandner, P.G., Welpe, I.M.: Predicting elections with twitter: what 140 Characters Reveal About Political Sentiment. In: Proceeding of Fourth International AAAI Conference on Weblogs and Social Media (ICWSM) (2010)
Galagan, P.: Twitter as a Learning Tool. Really, ASTD Learning Circuits (2009)
Okazaki, M., Matsuo, Y., Sakaki, T.: Tweet analysis for real-time event detection and earthquake reporting system development. IEEE Trans. Knowl. Data Eng. 25(4), 919–931 (2012)
Wanichayapong, N., Pruthipunyaskul, W., Pattara-Atikom, W., Chaovalit, P., Social-based traffic information extraction and classification. In: 11th International Conference on ITS Telecommunications, St. Petersburg, Russia (2011)
Rogstadius, J., Vukovic, M., Teixeira, C., Kostakos, V., Karapanos, E., Laredo, J.A.: CrisisTracker: crowdsourced social media curation for disaster awareness. IBM J. Res. Dev. 57(5), 4:1–4:13 (2013)
Ashktorab, Z., Brown, C., Nandi, M., Culotta, A.: Tweedr: mining twitter to inform disaster response. In: Proceedings of the 11th International ISCRAM Conference, Pennsylvania, USA (2014)
Dridi, H.E., Lapalme, G.: Détection d’évènements à partir de Twitter. TAL. Réseaux Sociaux 54(3), 11–33 (2013)
Imran, M., Castillo, C., Lucas, J., Meier, P., Rogstadius, J.: Coordinating Human and Machine Intelligence to Classify Microblog Communications in Crises. In the 11th International Conference on Information Systems for Crisis Response and Management Pennsylvania, USA, (2014)
Ahmad, B.: Lexical normalisation of twitter data. In: Science and Information Conference (SAI), London, UK (2015)
Russell, R.: Soundex coding system. United States Patent (1918)
Dridi, H.E.: Détection d’évènements à partir de Twitter, PhD thesis, Université de Montréal, Montréal, Canada (2014)
Imran, M., Castillo, C., Diaz, F., Vieweg, S.: Processing social media messages in mass emergency: a survey. J. ACM Comput. Surv. (CSUR) Surv. Homepage Arch. 47(4) (2015). Article No. 67
WhatIs.com. http://whatis.techtarget.com/definition/crisis-management
Bouchlaghem, R., Elkhlifi, A.: Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets. In: Proceedings of the EMNLP 2014 Workshop on Arabic Natural Langauge Processing (ANLP), Doha, Qatar (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Sassi, J., Thabet, I., Ghedira, K. (2017). A Framework to Support Tunisian Tweets Analysis for Crisis Management. In: Dokas, I., Bellamine-Ben Saoud, N., Dugdale, J., Díaz, P. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2017. Lecture Notes in Business Information Processing, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-319-67633-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-67633-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67632-6
Online ISBN: 978-3-319-67633-3
eBook Packages: Business and ManagementBusiness and Management (R0)