What is spark NLP used for?

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What is spark NLP used for?

Spark NLP is an open-source text processing library for advanced natural language processing for the Python, Java and Scala programming languages. The library is built on top of Apache Spark and its Spark ML library.

Is spark NLP good?

According to the survey results, Spark NLP library was listed as the seventh most popular across all AI frameworks and tools. It is also by far the most widely used NLP library — twice as common as spaCy. It was also found to be the most popular AI library after scikit-learn, TensorFlow, Keras, and PyTorch.

Can Apache Spark be used for AI?

Apache Spark (Spark) is an open source data-processing engine for large data sets. It is designed to deliver the computational speed, scalability, and programmability required for Big Data—specifically for streaming data, graph data, machine learning, and artificial intelligence (AI) applications.

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How do I use spark NLP in Databricks?

Let’s get started!

  1. Login to Databricks or get an account. First login to your Databricks accounts or create one real quick.
  2. Create a cluster with the latest Spark version. Select the Clusters tab on the left side and click on create a new cluster.
  3. Install Python Dependencies to cluster.
  4. Install Java Dependencies to cluster.

Is spark NLP free?

Free, forever, unlimited, for personal and commercial use. Spark NLP is released under an Apache 2.0 open-source license – including the pre-trained models and documentation.

Which framework can be used for creating NLP based models?

Explanation: Fairseq is a popular NLP framework developed by Facebook AI Research. It is a sequence modeling toolkit for machine translation, text summarization, language modeling, text generation, and other tasks.

Does spacy use PyTorch?

Update (October 2019) The spacy-transformers package was previously called spacy-pytorch-transformers . Since this blog post was published, Hugging Face have released an updated and renamed transformers package that now supports both PyTorch and TensorFlow 2. We have updated our library and this blog post accordingly.

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What do you need installed on your machine to run spark NLP?

Google Colab is perhaps the easiest way to get started with spark-nlp. It requires no installation or setup other than having a Google account. Run the following code in Google Colab notebook and start using spark-nlp right away.