Accuracy of a pre-trained sentiment analysis (sa) classification model on tweets related to emergency response and early recovery assessment: the case of 2019 albanian earthquake

HIGHLIGHTS

• who: Diana Contreras from the 021a, b, c, d, e, f, g) and improve preparedness in the futureHowever, it is necessary to identify the right approach to extract the information in the shortest time possible from the large datasets collected from SM that enables accurate situational awareness of the event and improves the ongoing and future emergency response operations after an earthquake. To aid in this objective, we test the accuracy of the pre-trained model of SA classification developed by MonkeyLearn, a machine learning platform for text analysis (Wolff, ). This pre-trained model performs an unsupervised . . .
  

   

  

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