ItemArticle

Early Disaster Detection and Monitoring Using Text Analysis and Levy Flight-based Particle Swarm Optimization Algorithm

Title
Early Disaster Detection and Monitoring Using Text Analysis and Levy Flight-based Particle Swarm Optimization Algorithm
Creator
Arora, Suchita; Kumar, Sunil; Kumar, Sandeep
Description
Disasters can strike unexpectedly and leave a trail of destruction, causing immense suffering and loss of life while disrupting entire communities. These events can be natural, such as floods, earthquakes, hurricanes, wildfires, or man-made, including industrial accidents and technological failures. This study investigates a hybrid approach that uses text analysis, natural language processing, and optimization techniques to identify and monitor disaster-related events. The methodology of this paper involves collecting and analyzing text, focusing on sentiment and keywords associated with disaster-related text. Various aspects of text patterns are examined to enhance the models performance. The proposed model uses a Levy flight-based Particle Swarm Optimization algorithm to select optimal features from a vector set. It uses Text Blob for sentiment analysis, cosine similarity to classify each tweet as a disaster, Count Vectorizer for feature extraction, and XGBoost machine learning algorithm for classification. The significance of this model is that it provides early warning and insight for any disaster based on text analysis and classification. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2026.
Source
SN Computer Science;Volume;7;Issue;4;Article No.;352;
Date
01-01-2026
Publisher
Springer
Subject
Disaster detection; Disaster monitoring; Natural disaster analysis; Similarity matrix; XGBoost classifier
Coverage
Arora S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, India, Department of Computer Science and Engineering, Poornima University, Jaipur, India; Kumar S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, India; Kumar S., Department of AI and Data Science Engineering, CHRIST University, Bangalore, 560074, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 2662995X;
Format
online
Language
English
Type
Article

Citation

Arora, Suchita; Kumar, Sunil; Kumar, Sandeep, “Early Disaster Detection and Monitoring Using Text Analysis and Levy Flight-based Particle Swarm Optimization Algorithm,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22144.

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