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Título:
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Targeted data enrichment for an existing large sparse dataset
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Autor/a:
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Xue, Zhouyang
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Otros autores:
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Technische Universität München; Groh, Georg |
Abstract:
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The current work collected a dataset on the interaction between people to be used in
future research on sentiment analysis. Based on messages sent from an individual to
others, a crawler is build to able to identify individual with high likelihood of response.
Based on a random forest model that analyzes features in message and frequent term
count analysising the text body, the crawler was able to detect replyied individuals
with 75% of acurracy. This allowed us to build a dense and strong connected social
network and thus can works for more detailed analysis social researches. |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica -Machine learning -Data mining -Aprenentatge automàtic -Mineria de dades |
Derechos:
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Tipo de documento:
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Trabajo/Proyecto fin de carrera |
Editor:
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Universitat Politècnica de Catalunya
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