Activeness of Syrian refugee crisis: an analysis of tweets
| Autor: | Karsten Ladner, K. M. George, Ruchishya Ramineni |
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| Rok vydání: | 2019 |
| Předmět: |
Generality
business.industry Computer science Communication Event based Refugee crisis 02 engineering and technology computer.software_genre Computer Science Applications Human-Computer Interaction 020204 information systems 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Artificial intelligence business Set (psychology) computer Natural language processing Information Systems Event (probability theory) |
| Zdroj: | Social Network Analysis and Mining. 9 |
| ISSN: | 1869-5469 1869-5450 |
| Popis: | In this paper, we propose and apply a method to analyze the activeness of an event based on related tweets. The method characterizes and measures activeness of an event by a set of indicators. The indicators proposed in this paper are original tweet count, retweet count, follower count, positive sentiment, negative sentiment, daily change in users count, and sparseness of user community. We present procedures to compute the last two indicators. All indicators collectively are used to determine the activeness of an event. This approach is used to analyze the Syrian-refugee-crisis-related tweets. Its generality is demonstrated by applying it to analyze “immigration”-related tweets. |
| Databáze: | OpenAIRE |
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