php-science/textrank
Composer 安装命令:
composer require php-science/textrank
包简介
TextRank (automatic text summarization) for PHP.
README 文档
README
TextRank
This source code is an implementation of TextRank algorithm in PHP programming language, under MIT licence.
TextRank vs. ChatGPT
GPTs like ChatGPT are supervised language models that understand the context and generate new content from the given input using vast resources while TextRank is a cost-efficient/low-cost text extraction algorithm. TextRank algorithm also can be used as a pre-processor to a GPT model to reduce the text size to save on resource consumption.
TextRank or Automatic summarization
Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. Automatic data summarization is part of machine learning and data mining. The main idea of summarization is to find a representative subset of the data, which contains the information of the entire set. Summarization technologies are used in a large number of sectors in industry today. - Wikipedia
The algorithm of this implementation is:
- Extracts sentences,
- Removes stopwords,
- Adds integer values to words by finding and counting the matching words,
- Weights the values of the words,
- Normalizes values to get the scores,
- Sorts by scores
Install to use it in your project
cd your-project-folder
composer require php-science/textrank
Install for contributing
cd git-project-folder
docker-compose build
docker-compose up -d
composer install
composer test
Examples
use PhpScience\TextRank\Tool\StopWords\English; // String contains a long text, see the /res/sample1.txt file. $text = "Lorem ipsum..."; $api = new TextRankFacade(); // English implementation for stopwords/junk words: $stopWords = new English(); $api->setStopWords($stopWords); // Array of the most important keywords: $result = $api->getOnlyKeyWords($text); // Array of the sentences from the most important part of the text: $result = $api->getHighlights($text); // Array of the most important sentences from the text: $result = $api->summarizeTextBasic($text);
More examples:
Authors, Contributors
| Name | GitHub user |
|---|---|
| David Belicza | @DavidBelicza |
| Riccardo Marton | @riccardomarton |
| Syndesi | @Syndesi |
| vincentsch | @vincentsch |
| Andrew Welch | @khalwat |
| Andrey Astashov | @mvcaaa |
| Leo Toneff | @bragle |
| Willy Arisky | @willyarisky |
| Robert-Jan Keizer | @KeizerDev |
| Morty | @evil1morty |
| Sezer Fidancı | @SezerFidanci |
php-science/textrank 适用场景与选型建议
php-science/textrank 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 1.75M 次下载、GitHub Stars 达 245, 最近一次更新时间为 2016 年 08 月 05 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「php」 「automatic」 「strict」 「science」 「artificial」 「intelligence」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 php-science/textrank 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 php-science/textrank 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 1.75M
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 247
- 点击次数: 27
- 依赖项目数: 3
- 推荐数: 0
其他信息
- 授权协议: MIT
- 更新时间: 2016-08-05