NLP Text processing library built on top of Apache Spark
Project description
Spark-NLP
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.
Requirements
SparkNLP is built on top of Apache Spark 2.4.0 and works with any user provided Spark 2.x.x it is advised to have basic knowledge of the framework and a working environment before using Spark-NLP.
Spark-NLP for Python
Dependencies on python3-devel and wheel python module
Build python package with python3 setup.py sdist bdist_wheel
Install with python3 -m pip install --force-reinstall --user dist/spark_nlp-1.8.3-py2.py3-none-any.whl
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size spark_nlp-1.8.4-py2.py3-none-any.whl (18.8 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View hashes |
| Filename, size spark-nlp-1.8.4.tar.gz (16.6 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
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