Title of the paper in English language

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.

Año de publicación:

2015

Keywords:

Fuente:

google