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Disaster Event Detection from Text: A Survey

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Computational Intelligence in Data Mining

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 281))

Abstract

With the advent of increasing online information, detecting and monitoring disaster events from textual data is challenging. The moment some disaster event happens, the social media and online web are flooded with lots of information about the event. Afterward, the quantity of articles about the event decreases exponentially. In order to monitor the successive development and after effects of the disaster events, detection of these events from online documents and tracking the documents reporting similar events becomes crucial. The information mined can be utilized to gain insight into the causes and preparing aftermath of the events. In this paper, a survey of the utility of text published in social media and online news articles has been carried out for disaster event detection. This survey aims to present the machine learning approaches applicable and analysis of research studies focused on disaster event detection from social media and online news articles.

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Notes

  1. 1.

    https://crisislex.org/data-collections.html.

  2. 2.

    https://crisisnlp.qcri.org/

  3. 3.

    http://dcs.gla.ac.uk/~richardm/TREC_IS/

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Author information

Authors and Affiliations

  1. University Institute of Engineering and Technology, Panjab University, Chandigarh, 160014, India

    Anchal Gupta, Monika Rani & Sakshi Kaushal

Authors
  1. Anchal Gupta
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  2. Monika Rani
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  3. Sakshi Kaushal
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Maharaja Sriram Chandra BhanjaDeo (MSCB) University, Baripada, Odisha, India

    Janmenjoy Nayak

  2. Department of Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    H.S. Behera

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of AI & DS, Ramco Institute of Technology, Rajapalayam, Tamil Nadu, India

    S. Vimal

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Gupta, A., Rani, M., Kaushal, S. (2022). Disaster Event Detection from Text: A Survey. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_22

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