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- W3005041567 abstract "Twitter is a vast store of textual data that can be helpful in determining disaster related crisis. In this research the aim is to implement a system that can acquire tweets from Twitter using the keyword ‘earthquake’ and determine the disaster location soon after the disaster. For prefiltering the tweets, a statistical approach has been developed. For determining out of context tweets a fuzzy matching approach has been used. To further categorize those tweets as relevant and irrelevant, Multinomial Naive Bayes classifier has been used. Relevant tweets were further analyzed to determine probable location of the disaster using a clustering-based approach. After obtaining the probable location of the disaster; it is then visualized on map." @default.
- W3005041567 created "2020-02-14" @default.
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- W3005041567 date "2019-11-01" @default.
- W3005041567 modified "2023-09-26" @default.
- W3005041567 title "Use of Social Media/Microblogging Platform along with GIS for Mapping Disaster" @default.
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- W3005041567 doi "https://doi.org/10.1109/upcon47278.2019.8980246" @default.
- W3005041567 hasPublicationYear "2019" @default.
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