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| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente | ||
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site:recherche:logiciels:atem [17/11/2023 15:37] amann |
site:recherche:logiciels:atem [17/11/2023 15:38] (Version actuelle) amann |
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| - | ATEM : A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives | + | ==== ATEM : A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives ==== |
| ATEM is a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles. | ATEM is a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles. | ||
| - | paper: https://arxiv.org/abs/2306.02221 | + | paper: https://arxiv.org/abs/2306.02221 \\ |
| software: https://gitlab.lip6.fr/equipebd/atem | software: https://gitlab.lip6.fr/equipebd/atem | ||
site/recherche/logiciels/atem.1700231873.txt.gz · Dernière modification: 17/11/2023 15:37 par amann
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