Original paper
Tweedr: Mining twitter to inform disaster response.
Abstract
In this paper, we introduce Tweedr, a Twitter-mining tool that extracts actionable information for disaster relief workers during natural disasters. The Tweedr pipeline consists of three main parts: classification, clustering and extraction. In the classification phase, we use a variety of classification methods (sLDA, SVM, and logistic regression) to identify tweets reporting damage or casualties. In the clustering phase, we use filters to...
Figures & Tables
Figure 1: Confusion Matrix of predicted labels using 10-folds cross validation.
Table 2: Number of tweets collected by event. We query for tweets both by keywor...
Table 4: Extraction F-score, Precision, and Recall obtained by training on 5 dis...
Paper Details
Title
Tweedr: Mining twitter to inform disaster response.
Published Date
Jan 1, 2014
Journal
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