Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lev Golitsyn"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 182-193 (2017)
Topic modelling is an area of text mining that has been actively developed in the last 15 years. A probabilistic topic model extracts a set of hidden topics from a collection of text documents. It defines each topic by a probability distribution over
Externí odkaz:
https://doaj.org/article/858783fca77940a0aa5594c12de25c65
Publikováno v:
CRIS
Procedia Computer Science
Procedia Computer Science
Using CRIS metrics to monitor and stimulate research activity is a widely accepted practice. We implemented CRIS Pure in UrFU and in this paper we summarize limitations of CRIS we met and outline the approaches proposed to solve them. © 2017 The Aut
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319717456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::858e278824ec529b4dbed022cedfe2d0
https://doi.org/10.1007/978-3-319-71746-3_24
https://doi.org/10.1007/978-3-319-71746-3_24
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319717456
Exploratory search is a paradigm of information retrieval, in which the user’s intention is to learn the subject domain better. To do this the user repeats “query–browse–refine” interactions with the search engine many times. We consider ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d0a126c7d78d1ab119fe1357468667
https://doi.org/10.1007/978-3-319-71746-3_16
https://doi.org/10.1007/978-3-319-71746-3_16
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 182-193 (2017)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 182-193 (2017)
Topic modelling is an area of text mining that has been actively developed in the last 15 years. A probabilistic topic model extracts a set of hidden topics from a collection of text documents. It defines each topic by a probability distribution over