topicmodels specifications

Information


Unique identifier OMICS_26896
Name topicmodels
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 0.2-7
Stability Stable
Requirements
methods, stats4, lattice, XML, R(≥2.15.0), slam, SnowballC, modeltools, tm(≥0.6), lasso2, lda, OAIHarvester, corpus.JSS.papers
Source code URL https://cran.r-project.org/src/contrib/topicmodels_0.2-7.tar.gz
Maintained Yes

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Documentation


Maintainers


  • person_outline Bettina Grun <>
  • person_outline Kurt Hornik <>

Publication for topicmodels

topicmodels in publications

 (7)
PMCID: 5476624
PMID: 28630433
DOI: 10.1038/s41598-017-03476-4

[…] normalized otu matrix. the observed species, chao1, and ice indices were calculated using the ‘fossil’ package in r with a non-normalized otu matrix., the hellinger distance was calculated with the ‘topicmodels’ package in r. the jsd distance was calculated with a custom r script provided by the european molecular biology laboratory enterotyping tutorial […]

PMCID: 5259985
PMID: 28155646
DOI: 10.1186/s12859-016-1364-3

[…] of a multivariate normal random variable, allows for a general pattern of variability between the components of the distribution []. more specifically, the ctm contained in the r package topicmodels [] was the method used for the construction of the ctm in every iteration., for each one of the individuals of the population, its set of k-mers, along with the original set of sequences, […]

PMCID: 4801402
PMID: 26998970
DOI: 10.1371/journal.pone.0151342

[…] for the sequence of random variables (see ). the sampling algorithm is applied to the chain to sample from the limited distribution, and it approximates the posterior (see ) []., we employed the topicmodels package in r [] to model the strategy texts. the tm package was also extensively employed for text preprocessing and converting the corpus to the document-term matrix []. in our analysis, […]

PMCID: 4833826
PMID: 27122644
DOI: 10.1007/s11192-016-1885-6

[…] text mining. the r package “tm” (feinerer et al. ) provides basic text mining functionality and is used by a rapidly growing number of higher-level packages, such as “rtexttools” (jurka et al. ), “topicmodels” (grün and hornik ) and “wordcloud” (fellows ). similarly, there are many toolkits and frameworks for text mining in java that could also be called from within a taverna workflow. […]

PMCID: 4416183
PMID: 25916734
DOI: 10.1186/1471-2105-16-S6-S2

[…] their words. then the lda algorithm is used in order to infer the probabilistic topic model for a fixed number of topics t. in this work we used the lda implementation provided by the r package topicmodels []. the lda model, defined as in section methods, is fitted using gibbs sampling [] and considering parameter values as suggested in []. given a fitted topic model, it is possible […]


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topicmodels institution(s)
Johannes Kepler Universitat, Linz, Austria; WU Wirtschaftsuniversitat, Wien, Austria
topicmodels funding source(s)
Supported by the Austrian Science Fund (FWF) under Hertha-Firnberg grant T351-N18 and under Elise-Richter grant V170-N18.

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