Zobrazeno 1 - 10
of 8 894
pro vyhledávání: '"Thematic coherence"'
Akademický článek
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Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is how to evaluate the quality of such thematic clusters. Here we create
Externí odkaz:
http://arxiv.org/abs/2106.15971
The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to an
Externí odkaz:
http://arxiv.org/abs/2012.09118
Autor:
Abdul-Salām M. Al-Majīdī
Publikováno v:
مجلة كلية الشريعة والدراسات الإسلامية, Vol 40, Iss 1 (2022)
Objectives: This study seeks to provide evidence for new aspects of the Qur’ānic eternal challenge, so as to offer humanity new insights unto the contemplation (tadabbur) of the structure and the meaning of the Qur’ān through introducing the co
Externí odkaz:
https://doaj.org/article/d10ede238c7449e2a760bf336be385ae
Conference
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Autor:
Köhnken, Adolf
Publikováno v:
Harvard Studies in Classical Philology, 1983 Jan 01. 87, 49-63.
Externí odkaz:
https://www.jstor.org/stable/311250
Autor:
Musgrave, Michael
Publikováno v:
Music Analysis, 1983 Jul 01. 2(2), 117-133.
Externí odkaz:
https://www.jstor.org/stable/854245
Publikováno v:
ACL/IJCNLP (1)
Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is how to evaluate the quality of such thematic clusters. Here we create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0423ec69bb8954e027491efa06fbdaa3
https://doi.org/10.18653/v1/2021.acl-long.530
https://doi.org/10.18653/v1/2021.acl-long.530
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 53:138-142
Structural differences between scientific articles that arise from their translation from Russian into English are studied using the modal topic modeling technique. Each collected document is represented by two modes, that is, English and Russian. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5431a98c8232ccfbe96e86b53494efcd
https://doi.org/10.3103/s0005105519030075
https://doi.org/10.3103/s0005105519030075