tomotopy
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Python package of Tomoto, the Topic Modeling Tool
Hello, I have encountered an issue where the sum of the topic-word distribution also does not sum to 1. I am running version 0.12.1, with hyperparameters `tw=TermWeight.PMI,` `gamma=1,` `alpha=0.1,` `eta=0.001,`...
Hello, Thank you for putting together this awesome package. I have one question regarding how the Gibbs Sampling is done under the hood. In other applications of Gibbs Sampling there...
Is a model like the Author-Topic Model (Rosen-Zvi et al.) in the plans, or would there be interest in it? The only available implementations I am aware of are: -...
It is mentioned in the repo docs that the pip installs is available for x86 architectures, and that the source code has to be compiled on other architextures. On ppc64le,...
Would adding the Document Influence Model be of interest? I reckon it would be a great addition to tomotopy. Gensim's counterpart for DTM includes the DIM model. In case, here...
Hi @bab2min, would you consider providing official conda versions of `tomotopy` as well (e.g., via [conda-forge](https://conda-forge.org))? It would help a lot with integrating the library into primarily conda-based environments.
LDA and variants are known to perform poorly on short texts. Is a model like BiTerm Model (Yan, Guo, Lan & Cheng) in the plans, or would there be interest...
In the original paper about the automated topic labeling (Mei, Q., Shen, X., & Zhai, C. 2007, Automatic labeling of multinomial topic models, in: Proceedings of the 13th ACM SIGKDD...
I'd like to infer topic assignments from a trained LDA model on a document, rather than the probability distribution over all topics. How can I accomplish this? Thanks
Hi all, I hope you are safe and doing well. Could anybody explain to me how set_word_prior() method works? I know how to use it in my code, but I...