Combining automatic and manual approaches: Towards a framework for discovering themes in disaster-related tweets
In this paper, we present a framework that combines automatic and manual approaches to discover themes in disaster-related tweets. As case study, we decided to focus on tweets related to typhoon Haiyan, which caused billions of dollars in damages. We collected tweets from November 2013 to March 2014...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Published: |
Animo Repository
2015
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2745 |
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| Institution: | De La Salle University |