paicehusk VS segment

Compare paicehusk vs segment and see what are their differences.

paicehusk

Golang implementation of the Paice/Husk Stemming Algorithm (by rookii)

segment

A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29 (by blevesearch)
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paicehusk segment
- 1
29 85
- -
0.0 0.0
over 10 years ago over 1 year ago
Go Go
BSD 2-clause "Simplified" License Apache License 2.0
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.

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.

What are some alternatives?

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

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

go-mystem - CGo bindings to Yandex.Mystem

porter2 - High Performance Porter2 Stemmer

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

gounidecode - Unicode transliterator for #golang

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

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

libtextcat - Cgo binding for libtextcat C library

go2vec - Read and use word2vec vectors in Go

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