How to implement semantic analysis and emotional evaluation of Baidu Wenxin Yiyan random sentences in PHP development?
Yiyan is a very popular sentence sharing platform that publishes a random sentence every day, covering a variety of topics. The Baidu Wenxin Yiyan interface provides semantic analysis and emotional evaluation functions for these sentences. In PHP development, we can use Baidu Wenxin Yiyan interface to implement our own semantic analysis and sentiment evaluation functions.
First, we need to register a Baidu developer account and create a Baidu AI application. Then, we can use the natural language processing API of Baidu AI open platform to implement semantic analysis and sentiment evaluation. The following is a sample code implemented using PHP:
<?php // 设置百度AI开放平台的API Key和Secret Key $apiKey = 'your_api_key'; $secretKey = 'your_secret_key'; // 要分析的语句 $text = '百度是一家全球领先的人工智能公司,致力于让“人工智能成为每个人的基本权利”。'; // 获取Access Token $authUrl = 'https://aip.baidubce.com/oauth/2.0/token'; $authParams = array( 'grant_type' => 'client_credentials', 'client_id' => $apiKey, 'client_secret' => $secretKey ); $authResponse = file_get_contents($authUrl . '?' . http_build_query($authParams)); $accessToken = json_decode($authResponse)->access_token; // 调用百度文心一言接口进行语义分析 $nlpUrl = 'https://aip.baidubce.com/rpc/2.0/nlp/v1/sentiment_classify'; $nlpParams = array( 'text' => $text ); $nlpHeaders = array( 'Content-Type: application/json', 'Charset: UTF-8', 'Authorization: Bearer ' . $accessToken ); $nlpOptions = array( 'http' => array( 'method' => 'POST', 'header' => implode(" ", $nlpHeaders), 'content' => json_encode($nlpParams) ) ); $nlpResponse = file_get_contents($nlpUrl, false, stream_context_create($nlpOptions)); $nlpResult = json_decode($nlpResponse); // 输出语义分析结果 echo '积极性:' . $nlpResult->items[0]->positive_prob . " "; echo '消极性:' . $nlpResult->items[0]->negative_prob . " "; echo '情感倾向:' . $nlpResult->items[0]->sentiment . " "; ?>
In the above code, we first set the API Key and Secret Key of Baidu AI Open Platform. Then, we obtain the Access Token by calling the identity authentication interface of Baidu AI open platform. Next, we use the obtained Access Token to call Baidu Wenxin Yiyan interface for semantic analysis and sentiment evaluation. Finally, we output the analysis results, including positivity, negativity, and emotional tendencies.
It should be noted that the above code is just an example and needs to be replaced with your own API Key and Secret Key when used in practice.
Through the above code examples, we can implement the semantic analysis and sentiment evaluation functions of Baidu Wenxinyiyan. This can help us gain a deeper understanding of the meaning and emotional tendencies of a sentence and then apply it to our project development. Hope this article is helpful to everyone!
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