Social Media Text Streaming Visualization
Social media registers millions of messages per second. This paper aims to develop a visual analysis that allows identifying events of particular interest and the time intervals in which they occur. This analysis uses text mining techniques and sentiment analysis.
Guardado en:
| Autor principal: | |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/114636 http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-03.pdf |
| Aporte de: |
| Sumario: | Social media registers millions of messages per second. This paper aims to develop a visual analysis that allows identifying events of particular interest and the time intervals in which they occur. This analysis uses text mining techniques and sentiment analysis. |
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