Characterizing and modeling crisis-related conversations in twitter

In this doctoral thesis, text data extracted from Twitter conversations regarding a natural disasteris analyzed and modelled. In doing so, contributions in different areas emerge: novel Twitterconversation datasets, new tasks scenarios, machine learning models to automatically label thedata. The main goal is to develop a conversational model to help NGOs to cope with the overwhelmingamount of data in the form of conversations, enabling citizens to contribute more efficiently duringnatural disasters.

• Main Author: Torres, Johnny (author)
• Other Authors: Abad, Cristina, Director (author), Vaca, Carmen, Co-Director (author)
• Format: bachelorThesis
• Published: 2020
• Subjects: Machine learning models; automatically label thedata; conversation on Twitter
• Online Access: http://www.dspace.espol.edu.ec/handle/123456789/54426