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Location extraction from tweets

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Figure

Table 4 presents the features we propose along with some examples that support our choices
Fig. 1. Accuracy (%), true positive, false positive, and F-measure (%) for TCL (tweets containing a location) when optimizing accuracy and true positive obtained by a RandomForest threshold of 0.5 for the Ritter dataset with different numbers of features re
Fig. 3. Accuracy (%), true positive, false positive, and F-measure (%) for TCL when optimizing true positive obtained by a Randomforest threshold of 0.2 for the MSM2013 dataset with different numbers of features representing tweets.
Table 5 presents the results for the various machine learning models. The rows in the fi rst part of the table report the results when accuracy is optimized, while the second part reports the results when the number of true positives (TP) is optimized

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