Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tamas Sebok"'
Autor:
Tamas Hanyecz, Norbert Barankai, László Dobos, Gábor Vattay, Tamas Sebok, János Szüle, Dániel Kondor, István Csabai, Zsófia Kallus
Publikováno v:
2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).
Principal component analysis (PCA) and related techniques have been successfully employed in natural language processing. Text mining applications in the age of the online social media (OSM) face new challenges due to properties specific to these use
Autor:
Dániel Kondor, László Dobos, János Szüle, József Stéger, Gábor Vattay, Tamas Hanyecz, Zsófia Kallus, Tamas Bodnar, István Csabai, Tamas Sebok
Publikováno v:
2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).
Despite their relatively low sampling factor, the freely available, randomly sampled status streams of Twitter are very useful sources of geographically embedded social network data. To statistically analyze the information Twitter provides via these
Autor:
Dániel Kondor, Gábor Vattay, Norbert Barankai, László Dobos, Zsófia Kallus, Tamas Hanyecz, József Stéger, János Szüle, István Csabai, Tamas Sebok
Twitter is a popular public conversation platform with world-wide audience and diverse forms of connections between users. In this paper we introduce the concept of aggregated regional Twitter networks in order to characterize communication between g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::359c70fd8b708c583ec853c60c4893d0
Publikováno v:
INFOCOM
The localization of Internet hosts opens space for a wide scope of applications, from targeted, location aware content provision to localizing illegal content. In this paper we present a novel probabilistic approach, called Spotter, for estimating th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9d074c2604fdbac9948af54cfd38f0
https://aperta.ulakbim.gov.tr/record/19841
https://aperta.ulakbim.gov.tr/record/19841