sentences VS RAKE.go

Compare sentences vs RAKE.go and see what are their differences.

RAKE.go

A Go port of the Rapid Automatic Keyword Extraction algorithm (RAKE) (by afjoseph)
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sentences RAKE.go
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419 109
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4.5 0.0
2 months ago about 4 years ago
Go Go
MIT License 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.

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.

RAKE.go

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

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

What are some alternatives?

When comparing sentences and RAKE.go 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.

go2vec - Read and use word2vec vectors in Go

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

paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm

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

dpar - Neural network transition-based dependency parser (in Rust)

whatlanggo - Natural language detection library for Go

go-nlp

golibstemmer - Go bindings for the snowball libstemmer library including porter 2

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