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https://github.com/sundy-li/html2article

基于文本密度的html2article实现[golang]
https://github.com/sundy-li/html2article

golang html2article zheng-wen-chou-qu

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基于文本密度的html2article实现[golang]

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## 基于文本密度的html2article实现[golang]

## Install
go get -u -v github.com/sundy-li/html2article

## Performance
- Accuracy: `>= 98% `
- Qps: 2w/s , 0.06ms/op ```
go test -bench=.
BenchmarkExtract-4 20000 66341 ns/op
```

- 说明(对比其他开源实现,可能是目前最快的html2article实现,我们测试的数据集约3kw来自于微信公众号,各大类中文科技媒体历史文章,目前能达到98%以上准确率)
- 除了必要dom解析以及时间解析, 为了高效率实现, 避免了过多的正则匹配

## Examples
参考examples
[from_url.go][1]


package main

import (
"github.com/sundy-li/html2article"
)

func main() {
urlStr := "https://www.leiphone.com/news/201602/DsiQtR6c1jCu7iwA.html"
ext, err := html2article.NewFromUrl(urlStr)
if err != nil {
panic(err)
}
article, err := ext.ToArticle()
if err != nil {
panic(err)
}
println("article title is =>", article.Title)
println("article publishtime is =>", article.Publishtime) //using UTC timezone
println("article content is =>", article.Content)

//parse the article to be readability
article.Readable(urlStr)
println("read=>", article.ReadContent)
}

## Options

```
ext.SetOption(&html2article.Option{
AccurateTitle: true, //Get the accurate title instead of from title tag
RemoveNoise: false, //Remove the noise node such as some footer
})
```

## Algorithm
- [参考论文][2]
- [Java实现][3]

[1]: https://github.com/sundy-li/html2article/blob/master/examples/from_url.go
[2]: http://www.doc88.com/p-7714009813182.html
[3]: https://github.com/CrawlScript/WebCollector