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Other ORP type . 2022
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Other ORP type . 2022
License: CC BY
Data sources: Datacite
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Other ORP type . 2022
License: CC BY
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Multilanguage Semantic Relatedness Models for Verbal Fluency Tasks

appsOther research productkeyboard_double_arrow_right Other ORP type 12 Dec 2022Publisher:Zenodo
Authors: Hähnel, Tom;

doi: 10.5281/zenodo.7429320 , 10.5281/zenodo.7429321

Multilanguage Semantic Relatedness Models for Verbal Fluency Tasks

Abstract

Semantic relatedness models in different languages for verbal fluency tasks based on the Wikipedia Corpuses in different languages. Model training was done using using the Python package Gensim version 4.0.1 with Python 3.9.5. The trained models belong to the following publication: Hähnel et al. 2023 (DOI: 10.2196/46021) Please cite as: Hähnel T, Feige T, Kunze J, Epler A, Frank A, Bendig J, Schnalke N, Wolz M, Themann P, Falkenburger B A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study JMIR Neurotech 2023;2:e46021 doi: 10.2196/46021

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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