libtextcat VS sentences

Compare libtextcat vs sentences and see what are their differences.

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libtextcat sentences
0 0
13 417
- -
0.0 4.5
over 11 years ago about 2 months ago
Go Go
GNU General Public License v3.0 or later MIT 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.

libtextcat

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

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

sentences

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

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

What are some alternatives?

When comparing libtextcat and sentences you can also consider the following projects:

prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

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

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

whatlanggo - Natural language detection library for Go

go-nlp

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

go2vec - Read and use word2vec vectors in Go

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

go-stem - Word Stemming in Go

gounidecode - Unicode transliterator for #golang

universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules