首先介绍什麽是载入别人的情绪给自己的电脑,
有个人已经将自己读文章时,所产生的情绪,让机器来学习,并产生一个已经训练好的 model,
我们只要透过 ml5,就可以很简单地,拿一些现在的文章,测试以他当时的情绪,会有怎样的表现。(https://examples.ml5js.org/p5js/sentiment/sentiment_interactive/)
接着备料,
sentiment.html 的程序码如下—
<html>
<head>
<title>Sentiment Analysis Demo</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/p5.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/addons/p5.dom.min.js"></script>
<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>
</head>
<body>
<h1>Sentiment Analysis Demo</h1>
<script src="sketch_sentiment.js"></script>
</body>
</html>
sketch_sentiment.js 的程序码如下—
let sentiment;
let statusEl;
let submitBtn;
let inputBox;
let sentimentResult;
function setup() {
noCanvas();
// initialize sentiment
sentiment = ml5.sentiment('movieReviews', modelReady);
// setup the html environment
statusEl = createP('Loading Model...');
inputBox = createInput();
inputBox.attribute('size', '75');
submitBtn = createButton('submit');
sentimentResult = createP('sentiment score:');
// predicting the sentiment on mousePressed()
submitBtn.mousePressed(getSentiment);
}
function getSentiment() {
// get the values from the input
const text = inputBox.value();
// make the prediction
const prediction = sentiment.predict(text);
// display sentiment result on html page
sentimentResult.html('Sentiment score: ' + prediction.score);
}
function modelReady() {
// model is ready
statusEl.html('model loaded');
}
备料完成後,就可启动 Live Server,
在 VS Code 里的 sentiment.html 程序码按右键,在显示的内容选单里,点选 Open with Live Server,
就可显示如下画面。
先拿以下文字测试,
die hard mario fan and i loved this game br br this game starts slightly boring but trust me it's worth it as soon as you start your hooked the levels are fun and exiting they will hook you OOV your mind turns to mush i'm not kidding this game is also orchestrated and is beautifully done br br to keep this spoiler free i have to keep my mouth shut about details but please try this game it'll be worth it br br story 9 9 action 10 1 it's that good OOV 10 attention OOV 10 average 10
贴入输入框内,按下 submit,
可得情绪分数 (Sentiment score) 为0.9999998807907104 (0分为100%负面情绪,1分为100%正面情绪)。
再拿以下文字测试,
the mother in this movie is reckless with her children to the point of neglect i wish i wasn't so angry about her and her actions because i would have otherwise enjoyed the flick what a number she was take my advise and fast forward through everything you see her do until the end also is anyone else getting sick of watching movies that are filmed so dark anymore one can hardly see what is being filmed as an audience we are impossibly involved with the actions on the screen so then why the hell can't we have night vision
贴入输入框内,按下 submit,
可得情绪分数 (Sentiment score) 为0.002577823121100664,可知这样的文章,对当时被复制者而言,会产生极接近负面的情绪。
所以,透过机械学习,我们能用过去的自己来处理现在的问题。
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