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Spark NLP

Spark NLP

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What is Spark NLP?

Spark NLP is a natural language processing library built on top of Apache Spark. It provides production-grade, scalable, and trainable pipelines for various NLP tasks such as tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and more. It is commonly used for processing large volumes of text data in enterprise settings, enabling tasks like information extraction, text classification, and building conversational AI systems.

What other technologies are related to Spark NLP?

Spark NLP Competitor Technologies

spaCy is a popular open-source library for advanced Natural Language Processing, offering similar functionalities as Spark NLP, thus a competitor.
mentioned alongside Spark NLP in 1% (70) of relevant job posts
NLTK is a symbolic and statistical natural language processing toolkit, and a competitor to Spark NLP
mentioned alongside Spark NLP in 1% (58) of relevant job posts
Hugging Face provides a wide range of pre-trained models and tools for NLP, competing directly with Spark NLP.
mentioned alongside Spark NLP in 0% (61) of relevant job posts

Spark NLP Complementary Technologies

PyTorch is a machine learning framework that can be used to train custom models for Spark NLP, serving as a complementary tool.
mentioned alongside Spark NLP in 0% (113) of relevant job posts
Scikit-learn provides tools for machine learning, including model training and evaluation, which can be used in conjunction with Spark NLP.
mentioned alongside Spark NLP in 0% (74) of relevant job posts
Spark NLP is designed to run on Databricks, so Databricks is complementary to it.
mentioned alongside Spark NLP in 0% (73) of relevant job posts

Which organizations are mentioning Spark NLP?

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