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kandi X-RAY | loria-synalp-emotionml Summary
kandi X-RAY | loria-synalp-emotionml Summary
loria-synalp-emotionml is a Java library. loria-synalp-emotionml has no bugs, it has no vulnerabilities and it has low support. However loria-synalp-emotionml build file is not available. You can download it from GitHub.
** LORIA/SYNALP EmotionML Implementation Alexandre Denis - may 2013 alexandre.a.denis at gmail.com. The LORIA/SYNALP implementation of EmotionML is a Java standalone library developed in the context of the ITEA Empathic Products project by the LORIA/SYNALP team. It enables to import Java objects from EmotionML XML files and export them to EmotionML as well. It guarantees standard compliance by performing a two steps validation after all export operations and before all import operations: first the EmotionML schema is tested, then all EmotionML assertions are tested. If one or the other fails, an error message is produced and the document cannot be imported or exported. The library contains a corpus of badly formatted EmotionML files that enables to double check if both the schema and the assertions manage to correctly invalidate them. The API is hosted on google code (and is released under the MIT License. The MIT License (MIT). Copyright (c) <2013> .
** LORIA/SYNALP EmotionML Implementation Alexandre Denis - may 2013 alexandre.a.denis at gmail.com. The LORIA/SYNALP implementation of EmotionML is a Java standalone library developed in the context of the ITEA Empathic Products project by the LORIA/SYNALP team. It enables to import Java objects from EmotionML XML files and export them to EmotionML as well. It guarantees standard compliance by performing a two steps validation after all export operations and before all import operations: first the EmotionML schema is tested, then all EmotionML assertions are tested. If one or the other fails, an error message is produced and the document cannot be imported or exported. The library contains a corpus of badly formatted EmotionML files that enables to double check if both the schema and the assertions manage to correctly invalidate them. The API is hosted on google code (and is released under the MIT License. The MIT License (MIT). Copyright (c) <2013> .
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Support
loria-synalp-emotionml has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of loria-synalp-emotionml is current.
Quality
loria-synalp-emotionml has no bugs reported.
Security
loria-synalp-emotionml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
loria-synalp-emotionml 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.
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loria-synalp-emotionml releases are not available. You will need to build from source code and install.
loria-synalp-emotionml has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of loria-synalp-emotionml
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of loria-synalp-emotionml
loria-synalp-emotionml Key Features
No Key Features are available at this moment for loria-synalp-emotionml.
loria-synalp-emotionml Examples and Code Snippets
No Code Snippets are available at this moment for loria-synalp-emotionml.
Community Discussions
No Community Discussions are available at this moment for loria-synalp-emotionml.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install loria-synalp-emotionml
You can download it from GitHub.
You can use loria-synalp-emotionml like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the loria-synalp-emotionml component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use loria-synalp-emotionml like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the loria-synalp-emotionml component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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