text2vec
An efficient R package for text analysis and NLP with fast vectorization, topic modeling, and word embeddings.
What is text2vec?
text2vec is an R package that provides an efficient framework for text analysis and natural language processing. It offers fast vectorization, topic modeling, distance calculations, and GloVe word embeddings while maintaining memory efficiency and parallel processing capabilities.
R developers and data scientists working with text data who need efficient NLP tools with good performance characteristics.
Developers choose text2vec for its combination of concise API, computational efficiency through C++ implementation, memory-friendly streaming architecture, and parallel processing capabilities that scale well on multicore systems.
Overview
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Use Cases
Best For
- Processing large text corpora with limited RAM using streaming API
- Building NLP pipelines in R that require parallel processing
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