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 mai...
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| Muut tekijät: | , |
| Aineistotyyppi: | bachelorThesis |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | http://www.dspace.espol.edu.ec/handle/123456789/54426 |
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