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http://www.dspace.espol.edu.ec/handle/123456789/54426| Title: | Characterizing and modeling crisis-related conversations in twitter |
| Authors: | Torres, Johnny Abad, Cristina, Director Vaca, Carmen, Co-Director |
| Keywords: | Machine learning models automatically label thedata conversation on Twitter |
| Issue Date: | 2020 |
| Publisher: | ESPOL. FIEC. |
| Citation: | Torres, J. (202). Characterizing and modeling crisis-related conversations in twitter. (Doctoral Thesis). Escuela Superior Politécnica del Litoral. Guayaquil. |
| Abstract: | 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. |
| URI: | http://www.dspace.espol.edu.ec/handle/123456789/54426 |
| Appears in Collections: | Tesis de Doctorado en Ciencias Computacionales Aplicadas |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| T-112160 Johnny Torres.pdf | 2.95 MB | Adobe PDF | View/Open |
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