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)
- Version1.2.1
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/16/2023
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Team
Luwei Ying
Jacob Montgomery
Show author detailsRolesAuthorBrandon Stewart
Show author detailsRolesAuthor
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- Depends1 package
- Imports5 packages
- Suggests2 packages