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<?php |
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/** |
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* Class NLP |
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* |
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* @link https://www.icy2003.com/ |
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* @author icy2003 <[email protected]> |
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* @copyright Copyright (c) 2017, icy2003 |
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*/ |
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namespace icy2003\php\iapis\baidu; |
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use Exception; |
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use icy2003\php\I; |
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use icy2003\php\ihelpers\Arrays; |
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use icy2003\php\ihelpers\Http; |
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use icy2003\php\ihelpers\Json; |
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use icy2003\php\ihelpers\Strings; |
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/** |
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* 自然语言处理 |
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* |
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* @link https://ai.baidu.com/docs#/NLP-Basic-API/top |
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*/ |
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class NLP extends Base |
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{ |
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/** |
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* 选项列表 |
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* |
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* @var array |
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*/ |
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protected $_options = [ |
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'text' => null, |
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'word_1' => null, |
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'word_2' => null, |
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'mode' => 0, |
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]; |
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/** |
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* 设置选项 |
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* |
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* @param array $options |
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* - text：待分析文本，长度限制根据不同接口定 |
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* - word_1：词 1，最大 64 字节 |
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* - word_2：词 2，最大 64 字节 |
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* - mode：模型选择。默认值为0，可选值mode=0（对应web模型）；mode=1（对应query模型），默认为 0 |
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* 1. Query模型：该模型的训练数据来源于用户在百度的日常搜索数据，适用于处理信息需求类的搜索或口语query。例如：手机缝隙灰尘怎么清除 |
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* 2. Web模型：该模型的训练数据来源于全网网页数据，适用于处理网页文本等书面表达句子。例如：一般而言,股份的表现形式可以是股票、股权份额等等 |
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* |
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* @return static |
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*/ |
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public function setOptions($options) |
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{ |
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return parent::setOptions($options); |
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} |
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/** |
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* 词法分析（通用版） |
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* |
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* - 向用户提供分词、词性标注、专名识别三大功能 |
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* - 能够识别出文本串中的基本词汇（分词），对这些词汇进行重组、标注组合后词汇的词性，并进一步识别出命名实体 |
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* - setOptions()：text（限制为 20000 字节） |
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* |
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* @return static |
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*/ |
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public function lexer() |
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{ |
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if (Strings::byteLength($this->_options['text']) > 20000) { |
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throw new Exception('文字太长，不允许超过 20000 字节'); |
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} |
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$this->requestToken(); |
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$this->_result = Json::decode(Http::body('https://aip.baidubce.com/rpc/2.0/nlp/v1/lexer', Json::encode(Arrays::some($this->_options, [ |
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'text', |
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])), [ |
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'access_token' => $this->_token, |
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'charset' => 'UTF-8', |
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])); |
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$this->_toArrayCall = function ($result) { |
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return Arrays::column(I::get($result, 'items'), 'item'); |
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}; |
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return $this; |
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} |
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/** |
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* 依存句法分析 |
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* |
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* - 依存句法分析接口可自动分析文本中的依存句法结构信息，利用句子中词与词之间的依存关系来表示词语的句法结构信息（如“主谓”、“动宾”、“定中”等结构关系），并用树状结构来表示整句的结构（如“主谓宾”、“定状补”等） |
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* - setOptions()：text（限制为 256 字节）、mode |
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* |
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* @return static |
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*/ |
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public function depparser() |
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{ |
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if (Strings::byteLength($this->_options['text']) > 256) { |
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throw new Exception('文字太长，不允许超过 256 字节'); |
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} |
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$this->requestToken(); |
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$this->_result = Json::decode(Http::body('https://aip.baidubce.com/rpc/2.0/nlp/v1/depparser', Json::encode(Arrays::some($this->_options, [ |
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'text', |
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'mode', |
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])), [ |
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'access_token' => $this->_token, |
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'charset' => 'UTF-8', |
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])); |
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$this->_toArrayCall = function ($result) { |
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return Arrays::column(I::get($result, 'items'), 'word'); |
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}; |
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return $this; |
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} |
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/** |
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* 词义相似度 |
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* |
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* - 输入两个词，得到两个词的相似度结果 |
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* - setOptions()：word_1、word_2 |
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* |
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* @return static |
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*/ |
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public function wordSim() |
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{ |
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if (Strings::byteLength($this->_options['word_1']) > 64) { |
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throw new Exception('词 1 太长，不允许超过 64 字节'); |
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} |
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if (Strings::byteLength($this->_options['word_2']) > 64) { |
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throw new Exception('词 2 太长，不允许超过 64 字节'); |
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} |
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$this->requestToken(); |
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$this->_result = Json::decode(Http::body('https://aip.baidubce.com/rpc/2.0/nlp/v2/word_emb_sim', Json::encode(Arrays::some($this->_options, [ |
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'word_1', |
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'word_2', |
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])), [ |
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'access_token' => $this->_token, |
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'charset' => 'UTF-8', |
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])); |
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$this->_toArrayCall = function ($result) { |
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return I::get($result, 'score'); |
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}; |
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return $this; |
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} |
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} |
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icy2003 /
php
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