A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research

Jean-Charles Lamirel 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : The objective of this paper is to propose a new unsupervised incremental approach in order to follow the evolution of research themes for a given scientific discipline in terms of emergence or decline. Such behaviors are detectable by various methods of filtering. However, our choice is made on the exploitation of neural clustering methods in a multi-view context. This new approach makes it possible to take into account the incremental and chronological aspects of information by opening the way to the detection of convergences and divergences of research themes at a large scale.
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Article dans une revue
Scientometrics, Springer Verlag, 2012, 93 (1), pp.151-166. 〈10.1007/s11192-012-0771-0〉
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https://hal.inria.fr/hal-00781576
Contributeur : Jean-Charles Lamirel <>
Soumis le : lundi 28 janvier 2013 - 06:04:19
Dernière modification le : mardi 24 avril 2018 - 13:54:35

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Jean-Charles Lamirel. A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research. Scientometrics, Springer Verlag, 2012, 93 (1), pp.151-166. 〈10.1007/s11192-012-0771-0〉. 〈hal-00781576〉

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