tldr is a golang package to summarize a text automatically using lexrank algorithm.
There are two main steps in lexrank, weighing, and ranking. tldr have two weighing and two ranking algorithm included, they are Jaccard coeficient and Hamming distance, then PageRank and centrality, respectively. The default settings use Hamming distance and pagerank.
Test it yourself, my system is i3-3217@1.8GHz with single channel 4GB RAM using Ubuntu 15.10 with kernel 4.5.0
$ go test -bench . -benchmem -benchtime 5s -cpu 4
BenchmarkSummarizeCentralityHamming-4 2000 6429340 ns/op 401204 B/op 3551 allocs/op
BenchmarkSummarizeCentralityJaccard-4 200 30036357 ns/op 3449461 B/op 12543 allocs/op
BenchmarkSummarizePagerankHamming-4 1000 7015008 ns/op 420665 B/op 3731 allocs/op
BenchmarkSummarizePagerankJaccard-4 200 31066764 ns/op 3469629 B/op 12737 allocs/op
So, not bad huh?
go get github.com/didasy/tldr
package main
import (
"fmt"
"io/ioutil"
"github.com/didasy/tldr"
)
func main() {
intoSentences := 3
textB, _ := ioutil.ReadFile("./sample.txt")
text := string(textB)
bag := tldr.New()
result, _ := bag.Summarize(text, intoSentences)
fmt.Println(result)
}
To test, just run go test, but you need to have gomega and ginkgo installed.
tldr depends on pagerank package, and you can install it with go get github.com/alixaxel/pagerank.
Check the LICENSE file. tldr: MIT.