Node.js vs Spark NLP
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. | 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. |
| - | 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 Encoder
Sentence Embeddings;
Chunk Embeddings |
Statistics | |
GitHub Stars 114.1K | GitHub Stars 4.1K |
GitHub Forks 33.7K | GitHub Forks 733 |
Stacks 200.4K | Stacks 28 |
Followers 164.5K | Followers 38 |
Votes 8.5K | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
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