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.

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Detalles Bibliográficos
Autor principal: Pustilnik, Martín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/114636
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-03.pdf
Aporte de:
id I19-R120-10915-114636
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Social media
Text mining
Event identi cation
spellingShingle Ciencias Informáticas
Social media
Text mining
Event identi cation
Pustilnik, Martín
Social Media Text Streaming Visualization
topic_facet Ciencias Informáticas
Social media
Text mining
Event identi cation
description 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.
format Objeto de conferencia
Objeto de conferencia
author Pustilnik, Martín
author_facet Pustilnik, Martín
author_sort Pustilnik, Martín
title Social Media Text Streaming Visualization
title_short Social Media Text Streaming Visualization
title_full Social Media Text Streaming Visualization
title_fullStr Social Media Text Streaming Visualization
title_full_unstemmed Social Media Text Streaming Visualization
title_sort social media text streaming visualization
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/114636
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-03.pdf
work_keys_str_mv AT pustilnikmartin socialmediatextstreamingvisualization
bdutipo_str Repositorios
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