Package: validateIt 1.2.1

Luwei Ying

validateIt: Validating Topic Coherence and Topic Labels

By creating crowd-sourcing tasks that can be easily posted and results retrieved using Amazon's Mechanical Turk (MTurk) API, researchers can use this solution to validate the quality of topics obtained from unsupervised or semi-supervised learning methods, and the relevance of topic labels assigned. This helps ensure that the topic modeling results are accurate and useful for research purposes. See Ying and others (2022) <doi:10.1101/2023.05.02.538599>. For more information, please visit <https://github.com/Triads-Developer/Topic_Model_Validation>.

Authors:Luwei Ying [aut, cre], Jacob Montgomery [aut], Brandon Stewart [aut]

validateIt_1.2.1.tar.gz
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validateIt.pdf |validateIt.html
validateIt/json (API)

# Install 'validateIt' in R:
install.packages('validateIt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 114 downloads 17 exports 22 dependencies

Last updated 2 years agofrom:ced3d803eb. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linuxNOTEDec 22 2024

Exports::=.dataas_labelas_namecheckAgreecombMassenquoenquosevalResultsgetResultsmixGoldpickLabelplotResultsrecordsendTasksvalidateLabelvalidateTopic

Dependencies:BHclicurlherejsonlitelatticeMatrixNLPpngpyMTurkRrappdirsRcppRcppTOMLreticulaterlangrprojrootslamSnowballCtmwithrXMLxml2