Towards an On-Line Analysis of Tweets Processing - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2011

Towards an On-Line Analysis of Tweets Processing

Abstract

Tweets exchanged over the Internet represent an important source of information, even if their characteristics make them dicult to analyze (a maximum of 140 characters, etc.). In this paper, we define a data warehouse model to analyze large volumes of tweets by proposing measures relevant in the context of knowledge discovery. The use of data warehouses as a tool for the storage and analysis of textual documents is not new but current measures are not well-suited to the specificities of the manipulated data. We also propose a new way for extracting the context of a concept in a hierarchy. Experiments carried out on real data underline the relevance of our proposal.
Fichier principal
Vignette du fichier
MT2011-PUB00033719.pdf (778.63 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00636285 , version 1 (27-10-2011)

Identifiers

Cite

Sandra Bringay, Nicolas Béchet, Flavien Bouillot, Pascal Poncelet, Mathieu Roche, et al.. Towards an On-Line Analysis of Tweets Processing. DEXA 2011 - 22nd International Conference on Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.154-161, ⟨10.1007/978-3-642-23091-2_15⟩. ⟨hal-00636285⟩
451 View
502 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More