Original paper
Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network
Abstract
While text classification can classify tweets, assessing whether a tweet is related to an ongoing flood event or not, based on its text, remains difficult. Inclusion of contextual hydrological information could improve the performance of such algorithms. Here, a multilingual multimodal neural network is designed that can effectively use both textual and hydrological information. The classification data was obtained from Twitter using...
Paper Details
Title
Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network
Published Date
Jul 1, 2020
Journal
Volume
140
Pages
104485 - 104485
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