Watson Natural Language Understandingの感情分析触ってみたところ面白そうだったのでメモ。他にもNLUのAPIあるんですけど、あんまり細かくは分からないんですよね。
翻訳
感情抽出に関しては英語にしか対応していませんので、まずはMicrosoft Translator APIで日本語を英語に翻訳しましょう。
Microsoft TranslatorでKey取得しておいて下さい。
こんな感じ。
translate.php
<?php
define('AZURE_KEY', 'YOUR_AZURE_KEY');
define('AUTH_URL', 'https://api.cognitive.microsoft.com/sts/v1.0/issueToken');
$text = $_GET['text'];
$from = $_GET['from'];
$to = $_GET['to'];
try
{
$accessToken = GetAccessToken();
$params = 'text=' . urlencode($text) . '&from=' . $from . '&to=' . $to . '&appId=Bearer+' . $accessToken;;
$url = 'http://api.microsofttranslator.com/v2/Http.svc/Translate?' .$params;
$response = Request( $url );
echo $response;
} catch(Exception $e) {
echo $e->getMessage();
}
function GetAccessToken()
{
$params = json_encode('{body}');
$ch = curl_init();
curl_setopt( $ch, CURLOPT_URL, AUTH_URL );
curl_setopt( $ch, CURLOPT_POSTFIELDS, $params );
curl_setopt($ch, CURLOPT_HTTPHEADER, array(
'Content-Type: application/json',
'Content-Length: ' . strlen($params),
'Ocp-Apim-Subscription-Key: ' . AZURE_KEY
)
);
curl_setopt( $ch, CURLOPT_RETURNTRANSFER, TRUE );
curl_setopt( $ch, CURLOPT_SSL_VERIFYPEER, FALSE );
$response = curl_exec($ch);
if(curl_errno($ch)){
throw new Exception( curl_error( $ch ) );
}
curl_close( $ch );
return $response;
}
function Request( $url )
{
$ch = curl_init();
curl_setopt( $ch, CURLOPT_URL, $url );
curl_setopt( $ch, CURLOPT_HTTPHEADER, array( 'Content-Type: text/xml' ) );
curl_setopt( $ch, CURLOPT_RETURNTRANSFER, true );
curl_setopt( $ch, CURLOPT_SSL_VERIFYPEER, false );
$response = curl_exec($ch);
if(curl_errno($ch)) {
throw new Exception(curl_error($ch));
}
curl_close( $ch );
return $response;
}
?>
感情分析
page.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" lang="ja" xml:lang="ja">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0,user-scalable=no" />
<title>Watson NLU Test</title>
<script src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script type="text/javascript">
$(function(){
$("#text").focus();
$('#text').keypress(function(e) {
if (e.which == 13) {
$("#button").click();
}
});
$("#button").click(function(){
$("#result").html("Understanding...");
var translated = "";
$.ajax({
type: "GET",
url: "translate.php?from=ja&to=en&text=" + encodeURI($("#text").val()),
async: false,
success:function(data){
console.log("success");
console.log(data);
translated = data;
},
error:function(){}
});
var url = "https://watson-api-explorer.mybluemix.net/natural-language-understanding/api/v1/analyze?version=2017-02-27&features=emotion&text=" + encodeURI(translated);
console.log(url);
$.ajax({
type: "GET",
url: url,
success: function( data ){
console.log("success");
var emotions = data.emotion.document.emotion;
console.log(data);
console.log(emotions);
$("#result").html("<span style='font-size:" + (20 + 50 * (emotions.anger / 1.0)) +
"pt'>😡</span><span style='font-size:" + (20 + 50 * (emotions.disgust / 1.0)) +
"pt'>😵</span><span style='font-size:" + (20 + 50 * (emotions.fear / 1.0)) +
"pt'>😱</span><span style='font-size:" + (20 + 50 * (emotions.joy / 1.0)) +
"pt'>😃</span><span style='font-size:" + (20 + 50 * (emotions.sadness / 1.0)) +
"pt'>😭</span>");
},
error: function( XMLHttpRequest, textStatus, errorThrown ){}
});
});
});
</script>
</head>
<body>
<h1>Watson NLU Test</h1>
<input type="text" id="text">
<button id="button">Tap Me</button>
<div id="result"></div>
</body>
</html>
分析してみる
まとめ
翻訳通さずに直接英語渡すとかなり精度出るんですが、翻訳挟むとそうでもないですね。
宣伝
LINE BOTを作ろう! Messaging APIを使ったチャットボットの基礎と利用例
好評発売中！