go-porterstemmer
A native Go implementation of the Porter Stemming algorithm for NLP and machine learning tasks.
What is go-porterstemmer?
Go Porter Stemmer is a Go library that implements the Porter Stemming algorithm for reducing words to their root forms. It's designed specifically for natural language processing and machine learning applications where word normalization is required. The implementation is written natively in Go with efficiency optimizations using rune slices.
Go developers working on natural language processing, text analysis, or machine learning projects that require word stemming functionality.
Developers choose this library because it's a clean room Go implementation (not a port) that includes documented algorithm departures for correctness, offers efficient rune-based processing, and provides multiple API options for different performance needs.
Overview
A native Go clean room implementation of the Porter Stemming algorithm.
Use Cases
Best For
- Implementing word stemming in Go-based NLP pipelines
- Text preprocessing for machine learning models in Go
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