Comments (2)
Hi Dmitriy. Thanks for letting me know.
On Tue, Oct 4, 2016 at 4:04 AM Dmitriy Selivanov [email protected]
wrote:
Hi, Tommy. Today new release of text2vec will be on CRAN. Plz check that
we didn't break anything in textmineR.—
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Now text2vec 0.4 on CRAN.
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Related Issues (20)
- Fill out implementation details in FitLdaModel and update.lda_topic_model HOT 1
- Discrepancy in topic content when summarizing and visualizing with LDAvis HOT 5
- Thinning/Lag of the sampler HOT 3
- License is not super clear HOT 4
- CalcProbCoherence algorithm unclear HOT 1
- CalcTopicModelR2 HOT 6
- Prior information on topics (e.g. Seeded LDA/Guided LDA) HOT 7
- LDAvis HOT 2
- Sparsity makes it more likely to have misses resulting in "negative probability" errors HOT 1
- FitCtmModel does not respect arguments from topicmodels::CTM HOT 2
- CalcTopicModelRsquared fails when called in FitLdaModel
- custom stop word list HOT 5
- CalcHellingerDist seems to modify in place HOT 5
- Switch to {mvrsquared}
- Choosing the numbers of topics ERROR Parallel HOT 4
- test HOT 1
- how to obtain word assignment of the original dataset? HOT 2
- vignette part 5 has error? HOT 1
- CreateTcm does not use multithreading
- How to use the Mallet in textmineR? HOT 1
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