molbi/php-text-analysis
Composer 安装命令:
composer require molbi/php-text-analysis
包简介
PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
README 文档
README
PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language. All the documentation for this project can be found in the wiki.
Installation Instructions
Add PHP Text Analysis to your project
composer require yooper/php-text-analysis
Documentation for the library resides in the wiki. https://github.com/yooper/php-text-analysis/wiki
Dictionary Installation
Not required unless you use the dictionary stemmers
For Ubuntu < 16
sudo apt-get install libpspell-dev
sudo apt-get install php5-pspell
sudo apt-get install aspell-en
sudo apt-get install php5-enchant
For Ubuntu >= 16
sudo apt-get install libpspell-dev php7.0-pspell aspell-en php7.0-enchant
For Centos
sudo yum install php5-pspell
sudo yum install aspell-en
sudo yum install php5-enchant
PHP Pecl Stem is not currently available in php 7.0.
Tokenize
There are several tokenizers available
- FixedLengthTokenizer
- GeneralTokenizer
- LambdaTokenizer
- PennTreeBankTokenizer
- RegexTokenizer
- SentenceTokenizer
- WhitespaceTokenizer
Tokenizer Usage
$tokenizer = new GeneralTokenizer()
$tokens = $tokenizer->tokenize("Enter your text here");
Frequency Distribution
$tokenizer = new \TextAnalysis\Tokenizers\GeneralTokenizer();
$tokens = $tokenizer->tokenize("time flies like an arrow and an arrow flies like time");
$freqDist = new \TextAnalysis\Analysis\FreqDist($tokens);
$freqDist->getHapaxes(); //Get the Hapaxes
$freqDist->getTotalTokens();
$freqDist->getTotalUniqueTokens();
Check out the API for full documentation https://github.com/yooper/php-text-analysis/blob/master/src/Analysis/FreqDist.php
molbi/php-text-analysis 适用场景与选型建议
molbi/php-text-analysis 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 1.85k 次下载、GitHub Stars 达 0, 最近一次更新时间为 2017 年 02 月 06 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: 「nlp」 「ir」 「text analysis」 「natural language processing」 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 molbi/php-text-analysis 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 molbi/php-text-analysis 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: 1.85k
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 0
- 点击次数: 24
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: Apache
- 更新时间: 2017-02-06