RT Journal Article
T1 T-Hoarder: a framework to process Twitter data streams
A1 Congosto Martínez, María Luz
A1 Basanta Val, Pablo
A1 Sánchez Fernández, Luis
AB With the eruption of online social networks, like Twitter and Facebook, a series of new APIs have appeared to allow access to the data that these new sources of information accumulate. One of most popular online social networks is the micro-blogging site Twitter. Its APIs allow many machines to access the torrent simultaneously to Twitter data, listening to tweets and accessing other useful information such as user profiles. A number of tools have appeared for processing Twitter data with different algorithms and for different purposes. In this paper T-Hoarder is described: a framework that enables tweet crawling, data filtering, and which is also able to display summarized and analytical information about the Twitter activity with respect to a certain topic or event in a web-page. This information is updated on a daily basis. The tool has been validated with real use-cases that allow making a series of analysis on the performance one may expect from this type of infrastructure.
PB Elsevier
SN 1084-8045
YR 2017
FD 2017-04-01
LK https://hdl.handle.net/10016/26094
UL https://hdl.handle.net/10016/26094
LA eng
NO This work been partially supported by HERMES SMARTDRIVER (TIN2013 46801 C4 2 R) and AUDACity (TIN2016 77158 C4 1 R).
DS e-Archivo
RD 27 jul. 2024