paicehusk VS go-nlp

Compare paicehusk vs go-nlp and see what are their differences.

paicehusk

Golang implementation of the Paice/Husk Stemming Algorithm (by rookii)
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paicehusk go-nlp
- -
29 88
- -
0.0 0.0
over 10 years ago -
Go Go
BSD 2-clause "Simplified" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

paicehusk

Posts with mentions or reviews of paicehusk. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning paicehusk yet.
Tracking mentions began in Dec 2020.

go-nlp

Posts with mentions or reviews of go-nlp. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-nlp yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing paicehusk and go-nlp you can also consider the following projects:

RAKE.go - A Go port of the Rapid Automatic Keyword Extraction algorithm (RAKE)

spaGO - Self-contained Machine Learning and Natural Language Processing library in Go

porter2 - High Performance Porter2 Stemmer

go-i18n - Translate your Go program into multiple languages.

gounidecode - Unicode transliterator for #golang

gse - Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

sentences - A multilingual command line sentence tokenizer in Golang

go2vec - Read and use word2vec vectors in Go

textcat - A Go package for n-gram based text categorization, with support for utf-8 and raw text

segment - A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29