Comments (2)
You are generating the dtm
with text2vec
functions, and this package was designed to work with topicmodels
-based dtm
s. You may be able to convert the dtm
from text2vec
to topicmodels
using the as.simple_triplet_matrix
function from the slam
package as described in this SO post, but I haven't tried it. If you get it to work, perhaps you could post your code and we can incorporate a check to convert a text2vec
dtm
for use with this package?
from ldatuning.
Thank you, will see if I can do that, otherwise I will just redo the data process with topicmodels
from ldatuning.
Related Issues (20)
- Typo in man page HOT 1
- fit models...Error in checkForRemoteErrors(val) : 2 nodes produced errors; first error: invalid argument type HOT 3
- FindTopicsNumber stop working HOT 1
- return_models = T causes error in FindTopicsNumber_plot HOT 1
- Consistent fatal error when attempting FindTopicsNumber() HOT 4
- crash with Apple M1chip HOT 4
- Status of each k in verbose mode HOT 1
- Check needed for NCOL(dtm) <= # of topics HOT 6
- Biterm topic model tuning
- Deveaud 2014 correctly implemented?
- Performance of FindTopicsNumber on big datasets HOT 1
- warning message running "FindTopicsNumber_plot"
- Warning message: The `<scale>` argument of `guides()` cannot be `FALSE`. Use "none" instead as of ggplot2 3.3.4. HOT 1
- Porting this package to use text2vec instead of topicmodels HOT 4
- add option to load-balance model-fitting HOT 2
- Error: "Each row of the input matrix needs to contain at least one non-zero entry" HOT 3
- Arun 2010 correctly implemented? HOT 19
- Error in seq_len(m) : argument must be coercible to non-negative integer HOT 1
- Delete HOT 3
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