hlda | implements hierarchical latent Dirichlet allocation | Topic Modeling library

by blei-lab JavaScript Version: Current License: No License

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kandi X-RAY | hlda Summary

hlda is a JavaScript library typically used in Artificial Intelligence, Topic Modeling, Example Codes applications. hlda has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

this code implements hierarchical lda with a fixed depth tree and a stick breaking prior on the depth weights. an infinite-depth tree can be approximated by setting the depth to be very high. this code requires that you have installed the gsl package. the input format of the data is the same as in the lda-c package. each line contains. [# of unique terms] [term #] : [count] ... the settings file controls various parameters of the model. there are several settings files contained in this directory. i hope that this code is useful to you, but please note that this code is unsupported. do not email me (david

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hlda has a low active ecosystem.

It has 73 star(s) with 21 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

hlda has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hlda is current.

Quality

hlda has 0 bugs and 0 code smells.

Security

hlda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hlda code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hlda does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

hlda releases are not available. You will need to build from source code and install.

hlda saves you 103 person hours of effort in developing the same functionality from scratch.

It has 263 lines of code, 17 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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hlda Key Features

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hlda Examples and Code Snippets

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Community Discussions

Trending Discussions on hlda

make Mallet topic-modeling stable

Mallet HierarchicalLDATUI throws NullPointerException for certain files

QUESTION

make Mallet topic-modeling stable

Asked 2019-Apr-12 at 13:27

I'm using the mallet topic-modeling tool and have some difficulties to make it stable (the topics that I get are not seemed very logic).

I worked with your tutorial and that one: https://programminghistorian.org/en/lessons/topic-modeling-and-mallet#getting-your-own-texts-into-mallet and I got some questions on that:

Is there some best practices for get that model to work? Except the optimize command (what is a good number for that)? What is good number for iterations command?
I import my data with the import dir command. In that dir there are my files. Is it matter if those files contain a text with new lines or just a very long line?
I read about the hLDA model. When I tried to run it I saw that the only output is the state.txt output that is not very clear. I expect for an output like the topic-modeling model (topic_keys.txt, doc_topics.txt) how can I get them?
When should I use the hLDA rather then the topic-modeling?

Thanks a lot for your help!

...

ANSWER

Answered 2019-Apr-12 at 13:27

Some references for good practices in topic modeling are The Care and Feeding of Topic Models with Jordan Boyd-Graber and Dave Newman and Applied Topic Modeling with Jordan Boyd-Graber and Yuening Hu.

For hyperparameter optimization --optimize-interval 20 --optimize-burn-in 50 should be fine, it doesn't seem to be very sensitive to specific values. Convergence for Gibbs sampling is hard to assess, the default 1000 iterations should be interpreted as "a number large enough that it's probably ok" rather than a specific value.

If you are reading individual documents from files in a directory, lines don't matter. If documents are longer than about 1000 tokens before stopword removal, consider breaking them into smaller segments.

hLDA is only included because people seem to want it, I don't recommend it for any purpose.

Source https://stackoverflow.com/questions/55556791

QUESTION

Mallet HierarchicalLDATUI throws NullPointerException for certain files

Asked 2018-Jan-25 at 22:19

In the past few days, I have started using Mallet. I am specifically interested in running a hierarchical topic model, like HLDA or HPAM. When importing the sample data files and running them using the cc.mallet.topics.tui.HierarchicalLDATUI class, I get results, no problems.

When running the same on the Wikipedia article on WW2, after importing I get the following error:

...

ANSWER

Answered 2018-Jan-25 at 22:19

It took a while but I found the answer to the problem and it seems too simple.

HLDATUI considers files as documents, which means if there is only one file there are not enough documents and the program crashes. That means one has to import more than one file.

The solution to my personal situation is that I will write a program, which will split the .xml file I want to run HLDATUI on into multiple smaller files, which then can be imported and analyzed.

Source https://stackoverflow.com/questions/48288257

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install hlda

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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