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: https://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:1.5.0 to you spark command

spark-shell --packages JohnSnowLabs:spark-nlp:1.5.0

pyspark --packages JohnSnowLabs:spark-nlp:1.5.0

spark-submit --packages JohnSnowLabs:spark-nlp:1.5.0

If 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>1.5.0</version>
</dependency>

libraryDependencies += "com.johnsnowlabs.nlp" % "spark-nlp_2.11" % "1.5.0"

If you are using scala 2.11

libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp" % "1.5.0"

If for some reason you need to use the jar, you can download the jar from the project's website: https://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.jar

The 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.

[email protected]

https://johnsnowlabs.com/