keyATM | An R package for Keyword Assisted Topic Models | Topic Modeling library
kandi X-RAY | keyATM Summary
kandi X-RAY | keyATM Summary
keyATM is a C++ library typically used in Artificial Intelligence, Topic Modeling applications. keyATM has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
An R package for Keyword Assisted Topic Models, created by Shusei Eshima, Tomoya Sasaki, and Kosuke Imai.
An R package for Keyword Assisted Topic Models, created by Shusei Eshima, Tomoya Sasaki, and Kosuke Imai.
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Quality
Security
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Support
keyATM has a low active ecosystem.
It has 76 star(s) with 11 fork(s). There are 8 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 36 have been closed. On average issues are closed in 32 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of keyATM is v0.4.2
Quality
keyATM has no bugs reported.
Security
keyATM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
keyATM is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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keyATM releases are available to install and integrate.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of keyATM
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of keyATM
keyATM Key Features
No Key Features are available at this moment for keyATM.
keyATM Examples and Code Snippets
No Code Snippets are available at this moment for keyATM.
Community Discussions
Trending Discussions on keyATM
QUESTION
Is there a possibility to "improve" a keyATM time-trend graph in R?
Asked 2020-Sep-27 at 16:39
I was wondering if it is possible to add custom attributes to the built-in function plot_timetrend
of the keyATM
R-package? My graph produced with
ANSWER
Answered 2020-Sep-27 at 16:32The fig_timetrend
object is a complicated thing, with the figure stored as fig_timetrend$figure
. So you can use that as a ggplot2
object. For example, using code from the keyATM
help topic:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install keyATM
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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