segment VS paicehusk

Compare segment vs paicehusk and see what are their differences.

segment

A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 (by blevesearch)

paicehusk

Golang implementation of the Paice/Husk Stemming Algorithm (by rookii)
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segment paicehusk
1 -
85 29
- -
0.0 0.0
over 1 year ago over 10 years ago
Go Go
Apache License 2.0 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.

segment

Posts with mentions or reviews of segment. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-03.

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.

What are some alternatives?

When comparing segment and paicehusk you can also consider the following projects:

go-mystem - CGo bindings to Yandex.Mystem

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

stemmer - Stemmer packages for Go programming language. Includes English, German and Dutch stemmers.

porter2 - High Performance Porter2 Stemmer

nlp - [UNMANTEINED] Extract values from strings and fill your structs with nlp.

gounidecode - Unicode transliterator for #golang

libtextcat - Cgo binding for libtextcat C library

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

go2vec - Read and use word2vec vectors in Go

when - A natural language date/time parser with pluggable rules