John Snow Labs Spark-NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
Take a look at our official spark-nlp page: http://nlp.johnsnowlabs.com/ for user documentation and examples
This library has been uploaded to the spark-packages repository https://spark-packages.org/package/JohnSnowLabs/spark-nlp .
To use the most recent version just add the --packages JohnSnowLabs:spark-nlp:1.0.0 to you spark command
spark-shell --packages JohnSnowLabs:spark-nlp:1.2.3pyspark --packages JohnSnowLabs:spark-nlp:1.2.3spark-submit --packages JohnSnowLabs:spark-nlp:1.2.3If you want to use and old version check the spark-packages websites to see all the releases.
Our package is deployed to maven central. In order to add this package as a dependency in your application:
<dependency>
<groupId>com.johnsnowlabs.nlp</groupId>
<artifactId>spark-nlp_2.11</artifactId>
<version>1.2.3</version>
</dependency>libraryDependencies += "com.johnsnowlabs.nlp" % "spark-nlp_2.11" % "1.2.3"
If you are using scala 2.11
libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp" % "1.2.3"
If for some reason you need to use the jar, you can download the jar from the project's website: http://nlp.johnsnowlabs.com/
From there you can use it in your project setting the --classpath
To add jars to spark programs use the --jars option
spark-shell --jars spark-nlp.jarThe preferred way to use the library when running spark programs is using the --packages option as specified in the spark-packages section.
We appreciate any sort of contributions:
- ideas
- feedback
- documentation
- bug reports
- nlp training and testing corpora
- development and testing
Clone the repo and submit your pull-requests! Or directly create issues in this repo.