A Sentiment-Aware Contextual Model for Real-Time Disaster Prediction Using Twitter Data

A Sentiment-Aware Contextual Model for Real-Time Disaster Prediction Using Twitter Data

The massive amount of data generated by social media present a unique opportunity for disaster analysis. As a leading social platform, Twitter generates over 500 million Tweets each day. Due to its real-time characteristic, more agencies employ Twitter to track disaster events to make a speedy rescu...

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Bibliographic Details
Main Authors: Guizhe Song, Degen Huang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Future Internet
Subjects:
natural language processing
text classification
mining information
Tweet data
social media
Online Access:https://www.mdpi.com/1999-5903/13/7/163

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https://www.mdpi.com/1999-5903/13/7/163

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