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Keyword filtering and content review functions in PHP real-time chat system
Keyword filtering and content review functions in PHP real-time chat system
Keyword filtering and content moderation functions in PHP live chat system
In modern social networks and real-time chat applications, keyword filtering and content moderation functions have become more and more important. These features can help protect users from inappropriate content and malicious messages. This article will introduce how to use PHP language to implement a simple real-time chat system and add keyword filtering and content review functions.
- Create chat system database
First, we need to create a MySQL database to save chat messages. You can use the following code to create a database named "chat_system" and create a table named "messages" in the database.
<?php
$conn = new mysqli("localhost", "root", "password");
$conn->query("CREATE DATABASE IF NOT EXISTS chat_system");
$conn->select_db("chat_system");
$conn->query("CREATE TABLE IF NOT EXISTS messages (
id INT AUTO_INCREMENT PRIMARY KEY,
message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)");
$conn->close();
?>- Create a chat interface
Next, we create a simple HTML chat interface that allows users to send and receive messages. You can use the following code as a base template.
<!DOCTYPE html>
<html>
<head>
<title>实时聊天系统</title>
</head>
<body>
<div id="chat-container">
<div id="chat-messages"></div>
<input type="text" id="message-input" placeholder="输入你的消息">
<button id="send-button">发送</button>
</div>
<script src="https://cdn.jsdelivr.net/npm/vue"></script>
<script src="https://cdn.jsdelivr.net/npm/axios/dist/axios.min.js"></script>
<script src="chat.js"></script>
</body>
</html>- Implement real-time chat function
Using Vue.js and Axios library, we can implement a real-time chat function. Create a file called "chat.js" and add the following code. This code will use WebSocket to communicate with the server in real time and display the received messages on the chat interface.
var app = new Vue({
el: '#chat-container',
data: {
messages: []
},
mounted: function() {
var self = this;
var socket = new WebSocket('ws://localhost:8080');
socket.onmessage = function(event) {
var message = JSON.parse(event.data);
self.messages.push(message);
};
this.$nextTick(function() {
var input = document.getElementById('message-input');
var button = document.getElementById('send-button');
button.onclick = function() {
var text = input.value;
if (text !== '') {
socket.send(JSON.stringify({ message: text }));
input.value = '';
}
};
input.onkeypress = function(event) {
if (event.keyCode === 13) {
button.click();
}
};
});
}
});- Add keyword filtering and content audit functions
After receiving the message sent by the user, we need to check whether the message contains bad keywords. You can use regular expressions to match message text and replace bad keywords with asterisks "*". This can be done server-side.
Update the chat.js file and add the following code:
socket.onmessage = function(event) {
var message = JSON.parse(event.data);
message.text = self.filterKeywords(message.text);
self.messages.push(message);
};
filterKeywords: function(text) {
var keywords = ['关键字1', '关键字2', '关键字3'];
for (var i = 0; i < keywords.length; i++) {
var regex = new RegExp(keywords[i], 'gi');
text = text.replace(regex, '*'.repeat(keywords[i].length));
}
return text;
}This code will call the filterKeywords function after receiving the message to check whether the message text contains keywords and replace them For the same number of asterisks "*". The keyword list can be expanded according to actual needs.
- Content review function
In addition to keyword filtering, we can also use third-party content review APIs to achieve more effective content review. These APIs can detect various inappropriate content such as abuse, pornography, violence, etc. through text analysis and machine learning algorithms.
Here, we take "Tencent Cloud Content Audit API" as an example to obtain the audit results by sending HTTP requests to the API interface. First, you need to register and obtain the App ID and App Key of the API.
Update the chat.js file and add the following code:
filterKeywords: function(text) {
// 关键字过滤逻辑...
// 内容审核
var self = this;
var appID = 'YOUR_APP_ID';
var appKey = 'YOUR_APP_KEY';
var apiUrl = 'https://api.youtu.qq.com/youtu/textapi/textporn';
axios.post(apiUrl, {
app_id: appID,
app_key: appKey,
text: text
})
.then(function(response) {
if (response.data && response.data.porn_score > 0.6) {
alert('内容含有不良信息，已被屏蔽');
}
})
.catch(function(error) {
console.log(error);
});
return text;
}This code will use the axios library to send a POST request to the Tencent Cloud content review API after checking the keyword filtering, and send the message Text is passed to the API as a parameter. If the audit score returned by the API exceeds the threshold (here set to 0.6), the content is considered to contain bad information, and a warning box will pop up to prompt the user.
The above is an example of how to use PHP language to implement a real-time chat system and add keyword filtering and content review functions. This example is just a simple demonstration, and actual applications may require more complex and complete logic to protect users from inappropriate content.
The above is the detailed content of Keyword filtering and content review functions in PHP real-time chat system. For more information, please follow other related articles on the PHP Chinese website!
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