elasticsearch-opennlp-auto-tagging | Auto tagging with OpenNPL

by richardwilly98 Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | elasticsearch-opennlp-auto-tagging Summary

elasticsearch-opennlp-auto-tagging is a Java library. elasticsearch-opennlp-auto-tagging has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Auto tagging with OpenNPL

Support

Quality

Security

License

Reuse

Support

elasticsearch-opennlp-auto-tagging has a low active ecosystem.

It has 14 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1239 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch-opennlp-auto-tagging is current.

Quality

elasticsearch-opennlp-auto-tagging has 0 bugs and 0 code smells.

Security

elasticsearch-opennlp-auto-tagging has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch-opennlp-auto-tagging code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch-opennlp-auto-tagging 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

elasticsearch-opennlp-auto-tagging releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed elasticsearch-opennlp-auto-tagging and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-opennlp-auto-tagging implemented functionality, and help decide if they suit your requirements.

Performs a shard operation on ElasticSearch
Returns the lemma for the given word and post
Detects auto - tagging response
Extracts keywords from text
Handle the given request
Sets the type of this tag
Sets the ID for the document
Sets the max limit
Sets the type to index
Parse the content
Writes this entry to the specified stream
Sets the field for the tag
Sets the content for the tag
Executes auto tags
Sets the index for the document
Returns the collection of auto - tagging modules
Closes the resources
Traverses the field mappers and tags
Read from the given stream
Gets the document tagger service
Create an XContent object
Starts the POS model
Calls the write to the stream
Calls the super method

Get all kandi verified functions for this library.

elasticsearch-opennlp-auto-tagging Key Features

No Key Features are available at this moment for elasticsearch-opennlp-auto-tagging.

elasticsearch-opennlp-auto-tagging Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch-opennlp-auto-tagging.

Community Discussions

No Community Discussions are available at this moment for elasticsearch-opennlp-auto-tagging.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-opennlp-auto-tagging

You can download it from GitHub.
You can use elasticsearch-opennlp-auto-tagging 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 elasticsearch-opennlp-auto-tagging 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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