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Trending Topic Extraction using Topic Models and Biterm Discrimination
(2017)
Mining and exploitation of data in social networks has been the focus of many efforts,
but despite the resources and energy invested, still remains a lot for doing given its
complexity, which requires the adoption of a ...
Latent association rule cluster based model to extract topics for classification and recommendation applications
(Elsevier B.V., 2018-12-01)
The quality of any text mining technique is highly dependent on the features that are used to represent the document collection. A classical form of document representation is the vector space model (VSM), according to ...
A Strategy to enhance computer science teaching material using topic modelling: Towards overcoming the gap between college andworkplace skills
(2020-02-26)
Computer Science teaching materials are biased towards concepts and theoretical aspects. One may consider it difficult to relate concepts to concrete problems. Consequently, it increases the chances of a student not ...
Semantic Analysis and Topic Modelling of Web-Scrapped COVID-19 Tweet Corpora through Data Mining Methodologies
(Healthcare (Switzerland), 2022)
DIRAC CONFINEMENT BY A VARIATIONAL APPROACH
(Editrice Compositori Bologna, 1992-07-01)
An analytical approximate method for the Dirac equation with confining power law scalar plus vector potentials, applicable to the problem of the relativistic quark confinement, is presented. The method consists in an ...
DIRAC CONFINEMENT BY A VARIATIONAL APPROACH
(Editrice Compositori Bologna, 1992-07-01)
An analytical approximate method for the Dirac equation with confining power law scalar plus vector potentials, applicable to the problem of the relativistic quark confinement, is presented. The method consists in an ...