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anaconda.org : spark-nlp
Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. It provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. Spark NLP comes with 21000+ pretrained pipelines and models in more than 200+ languages. It also offers tasks such as Tokenization, Word Segmentation, Part-of-Speech Tagging, Word and Sentence Embeddings, Named Entity Recognition, Dependency Parsing, Spell Checking, Text Classification, Sentiment Analysis, Token Classification, Machine Translation (+180 languages), Summarization, Question Answering, Table Question Answering, Text Generation, Image Classification, Image to Text (captioning), Automatic Speech Recognition, Zero-Shot Learning, and many more NLP tasks.
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purl: pkg:conda/spark-nlp
Keywords: albert, bert, entity-extraction, language-detection, lemmatizer, machine-translation, named-entity-recognition, natural-language-processing, nlp, part-of-speech-tagger, pyspark, sentiment-analysis, seq2seq, spark, spark-ml, spell-checker, tensorflow, text-classification, transformers, xlnet
License: Apache-2.0
Latest release: 7 months ago
First release: 7 months ago
Dependent repositories: 1
Stars: 3,437 on GitHub
Forks: 673 on GitHub
Total Commits: 6397
Committers: 114
Average commits per author: 56.114
Development Distribution Score (DDS): 0.588
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Last synced: 3 days ago