Keywords
Knime
#allyouneedisecuador
Twitter Minería de datos
Knime
#allyouneedisecuador
How to Cite
Abstract
Using a data mining tool such as KNIME messages sent over a period of five days, on Twitter and using the hashtag #allyouneedisecuador, could be obtained
The messages were classified in clusters using the k-mean algorithm and it was possible to classify these messages on five groups according to the indicators and forwarding messages and favorites.
The results are encouraging in terms of both the tool used to collect the Twitter messages: KNIME, as regarding the possibility of clustering.
The work allows to offer the analyst of campaign different possibilities to filter the results according to forwards and favorites and analyze the characteristics of these messages and users, such as travel agencies, with more impact, or less in relation to the analyzed campaign.
References
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Copyright (c) 2019 Jorge Alberto González Alonso, José Francisco Taipe Yánez, Johny Fabián Pazmiño Linzán, Yudeisy Pérez González