elasticsearch-ingest-opennlp | Elasticsearch ingest processor to do named entity | Natural Language Processing library
kandi X-RAY | elasticsearch-ingest-opennlp Summary
kandi X-RAY | elasticsearch-ingest-opennlp Summary
elasticsearch-ingest-opennlp is a Java library typically used in Artificial Intelligence, Natural Language Processing, Spark applications. elasticsearch-ingest-opennlp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
An Elasticsearch ingest processor to do named entity extraction using Apache OpenNLP
An Elasticsearch ingest processor to do named entity extraction using Apache OpenNLP
Support
Quality
Security
License
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Support
elasticsearch-ingest-opennlp has a low active ecosystem.
It has 247 star(s) with 64 fork(s). There are 18 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 33 have been closed. On average issues are closed in 40 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of elasticsearch-ingest-opennlp is 8.1.3.1
Quality
elasticsearch-ingest-opennlp has no bugs reported.
Security
elasticsearch-ingest-opennlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
elasticsearch-ingest-opennlp is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
elasticsearch-ingest-opennlp releases are available to install and integrate.
Deployable package is available in Maven.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed elasticsearch-ingest-opennlp and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch-ingest-opennlp implemented functionality, and help decide if they suit your requirements.
- Perform the actual merge
- Generates an annotated text based on the extracted entities
- Find entities in content
- Merge the given values into the given map
- Merge existing entities into the specified collection
- Returns the set of entities that are defined in this message
- Get the tokens
- Downloads the configuration files
- Downloads the model from the given URL
- Returns a map of OpenNLP processors
- Starts the engine
- Gets the model settings
- Returns all models defined in the plugin
Get all kandi verified functions for this library.
elasticsearch-ingest-opennlp Key Features
No Key Features are available at this moment for elasticsearch-ingest-opennlp.
elasticsearch-ingest-opennlp Examples and Code Snippets
No Code Snippets are available at this moment for elasticsearch-ingest-opennlp.
Community Discussions
Trending Discussions on elasticsearch-ingest-opennlp
QUESTION
Java runtime binary shows different results
Asked 2019-Jan-24 at 16:57
I'm trying to run a binary using my Java code but it's giving me a different result than when I would run it myself from my terminal.
Java code:
...ANSWER
Answered 2019-Jan-24 at 15:44Switch to Runtime.exec(String[]) to avoid problems in quoting the arguments:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install elasticsearch-ingest-opennlp
No release due to issues with Elasticsearch dependencies. IMPORTANT: If you are running this plugin with Elasticsearch 6.5.2 or newer, you need to download the NER models from sourceforge after installation. To download the models, run the following under Linux and osx (this is in the bin directory of your Elasticsearch installation). If you are using windows, please use the following command.
In order to install this plugin, you need to create a zip distribution first by running. This will produce a zip file in build/distributions. As part of the build, the models are packaged into the zip file, but need to be downloaded before. There is a special task in the build.gradle which is downloading the models, in case they dont exist. After building the zip file, you can install it like this. Ensure that you have the models downloaded, before testing.
In order to install this plugin, you need to create a zip distribution first by running. This will produce a zip file in build/distributions. As part of the build, the models are packaged into the zip file, but need to be downloaded before. There is a special task in the build.gradle which is downloading the models, in case they dont exist. After building the zip file, you can install it like this. Ensure that you have the models downloaded, before testing.
Support
A couple of groovy build mechanisms from core are disabled. See the build.gradle for further explanationsOnly the most basic NLP functions are exposed, please fork and add your own code to this!
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