What is Spark NLP?
It 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. It comes with 160+ pretrained pipelines and models in more than 20+ languages.
Spark NLP is a tool in the NLP / Sentiment Analysis category of a tech stack.
Spark NLP is an open source tool with 3.9K GitHub stars and 719 GitHub forks. Here’s a link to Spark NLP's open source repository on GitHub
Who uses Spark NLP?
Companies
5 companies reportedly use Spark NLP in their tech stacks, including Newzera, Ukuli Data, and Multivac DSL.
Developers
22 developers on StackShare have stated that they use Spark NLP.
Spark NLP Integrations
Spark NLP's Features
- Tokenization
- Stop Words Removal
- Normalizer
- Stemmer
- Lemmatizer
- NGrams
- Regex Matching
- Text Matching
- Chunking
- Date Matcher
- Part-of-speech tagging
- Sentence Detector
- Dependency parsing (Labeled/unlabled)
- Sentiment Detection (ML models)
- Spell Checker (ML and DL models)
- Word Embeddings (GloVe and Word2Vec)
- BERT Embeddings
- ELMO Embeddings
- Universal Sentence EncoderSentence Embeddings
- Chunk Embeddings
Spark NLP Alternatives & Comparisons
What are some alternatives to Spark NLP?
Postman
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Postman
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Stack Overflow
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Elasticsearch
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