如何用Java实现CMS系统的内容审核功能

class TrieNode {
    private boolean isEnd;
    private Map<Character, TrieNode> next;

    public TrieNode() {
        isEnd = false;
        next = new HashMap<>();
    }

    public void insert(String word) {
        TrieNode cur = this;
        for (char c : word.toCharArray()) {
            if (!cur.next.containsKey(c)) {
                cur.next.put(c, new TrieNode());
            }
            cur = cur.next.get(c);
        }
        cur.isEnd = true;
    }

    public boolean search(String word) {
        TrieNode cur = this;
        for (char c : word.toCharArray()) {
            if (!cur.next.containsKey(c)) {
                return false;
            }
            cur = cur.next.get(c);
        }
        return cur.isEnd;
    }
}

...
// 构建敏感词树
TrieNode root = new TrieNode();
root.insert("敏感词1");
root.insert("敏感词2");
root.insert("敏感词3");

// 过滤文本
String text = "这是一段包含敏感词的文本";
for (int i = 0; i < text.length(); i++) {
    for (int j = i + 1; j <= text.length(); j++) {
        String substr = text.substring(i, j);
        if (root.search(substr)) {
            // 敏感词替换成*
            text = text.replace(substr, "*");
        }
    }
}
System.out.println(text);

// 引入百度AI SDK
import com.baidu.aip.imageclassify.AipImageClassify;

...
// 初始化一个AipImageClassify
AipImageClassify client = new AipImageClassify("App ID", "API Key", "Secret Key");

// 图片审核
JSONObject response = client.antiPorn("图片路径");
if (response.getInt("conclusionType") == 1) {
    // 图片为正常内容
    System.out.println("图片审核通过");
} else {
    // 图片内容违规
    System.out.println("图片审核不通过");
}

// 引入百度AI SDK
import com.baidu.aip.contentcensor.AipContentCensor;

...
// 初始化一个AipContentCensor
AipContentCensor client = new AipContentCensor("App ID", "API Key", "Secret Key");

// 文本审核
JSONObject response = client.textCensorUserDefined("文本内容");
if (response.getInt("conclusionType") == 1) {
    // 文本为正常内容
    System.out.println("文本审核通过");
} else {
    // 文本内容违规
    System.out.println("文本审核不通过");
}

// 敏感词过滤
for (int i = 0; i < text.length(); i++) {
    for (int j = i + 1; j <= text.length(); j++) {
        String substr = text.substring(i, j);
        if (root.search(substr)) {
            // 敏感词替换成*
            text = text.replace(substr, "*");
        }
    }
}

// 图片审核
JSONObject response = client.antiPorn("图片路径");
if (response.getInt("conclusionType") != 1) {
    // 图片内容违规，拒绝提交
    return "图片内容不合规";
}

// 文本审核
response = client.textCensorUserDefined(text);
if (response.getInt("conclusionType") != 1) {
    // 文本内容违规，拒绝提交
    return "文本内容不合规";
}

// 审核通过，保存提交的内容
saveContent(text);

// ...