Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Fermín L. Cruz"'
Publikováno v:
IEEE Access, Vol 8, Pp 192218-192228 (2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line communities of Twitter users for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4a891153d511cfc0b49ad3d2afcea9
https://doi.org/10.1109/access.2020.3032015
https://doi.org/10.1109/access.2020.3032015
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Social polarisation processes have become a central phenomenon for the explanation of population behavioural dynamics in today's societies. Although recent works offer solutions for the detection of polarised political communities in social
Externí odkaz:
https://doaj.org/article/4e915e3b965e4836b245aeff72c537fb
Publikováno v:
Information Fusion. 31:54-64
We explore the idea of integrating both textual and structural information.Using only structural information gives similar results to ones yielded BoW model.Complementing textual content with structural information achieves the best results.A proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0037cfb94a65cd5279d2428820e559bc
https://doi.org/10.1016/j.inffus.2016.01.002
https://doi.org/10.1016/j.inffus.2016.01.002
Publikováno v:
Knowledge-Based Systems. 195:105604
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our work is to show the usefuln
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd475b06363ed32833aaa2f2b967bb8
https://doi.org/10.1016/j.knosys.2020.105604
https://doi.org/10.1016/j.knosys.2020.105604
Publikováno v:
Expert Systems with Applications. 42:4743-4754
An extensible and modular approach for normalizing Spanish tweets is proposed.We make use of lightweight resources build with low manual effort.System performance is also analyzed module-wise and phenomenon-wise.The domain adaptability of our propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3837b7bb01af4e958a4e5c3e6dd3a1
https://doi.org/10.1016/j.eswa.2015.02.003
https://doi.org/10.1016/j.eswa.2015.02.003
Publikováno v:
Journal of the Association for Information Science and Technology. 65:513-523
Twitter is a social network in which people publish publicly accessible brief, instant messages. With its exponential growth and the public nature and transversality of its contents, more researchers are using Twitter as a source of data for multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd2968243637f2c851163d78bcfb0c1
https://doi.org/10.1002/asi.22991
https://doi.org/10.1002/asi.22991
Publikováno v:
Expert Systems with Applications. 40:3174-3184
Nowadays, people do not only navigate the web, but they also contribute contents to the Internet. Among other things, they write their thoughts and opinions in review sites, forums, social networks, blogs and other websites. These opinions constitute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8a81a6bfc3d7a5573926b86cd63fa5
https://doi.org/10.1016/j.eswa.2012.12.031
https://doi.org/10.1016/j.eswa.2012.12.031
Publikováno v:
Computer Networks. 56:2884-2895
Trust and Reputation Systems constitute an essential part of many social networks due to the great expansion of these on-line communities in the past few years. As a consequence of this growth, some users try to disturb the normal atmosphere of these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39320e548ea24915041b8b2c27434c4c
https://doi.org/10.1016/j.comnet.2012.05.002
https://doi.org/10.1016/j.comnet.2012.05.002
Publikováno v:
Information Processing & Management. 48:271-282
In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the webpage relevance calculus method used by Google, and generalizes it to deal with graphs having not only positive but also negati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a74e32928b5f9209c264aca2e3a5c4d9
https://doi.org/10.1016/j.ipm.2011.08.003
https://doi.org/10.1016/j.ipm.2011.08.003
Publikováno v:
International Journal on Artificial Intelligence Tools. 20:955-967
This paper presents the ideas, experiments and specifications related to the Supervised TextRank (STR) technique, a word tagging method based on the TextRank algorithm. The main innovation of STR technique is the use of a graph-based ranking algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c1437c8d065f2e31e800d1573dfc8fe
https://doi.org/10.1142/s0218213011000437
https://doi.org/10.1142/s0218213011000437