如何高效地从海量数据中精确匹配句子中的关键词？

import java.util.HashMap;
import java.util.Map;

public class Trie {

    private TrieNode root = new TrieNode();

    public void insert(String word) {
        TrieNode current = root;
        for (char c : word.toCharArray()) {
            current = current.children.computeIfAbsent(c, k -> new TrieNode());
        }
        current.isEndOfWord = true;
    }

    public String search(String sentence) {
        String[] words = sentence.split("\s+"); // 分割句子为单词
        for (String word : words) {
            TrieNode current = root;
            for (char c : word.toCharArray()) {
                if (!current.children.containsKey(c)) {
                    current = null;
                    break;
                }
                current = current.children.get(c);
            }
            if (current != null && current.isEndOfWord) {
                return word; // 匹配成功，返回关键词
            }
        }
        return null; // 没有匹配到关键词
    }

    private static class TrieNode {
        Map<Character, TrieNode> children = new HashMap<>();
        boolean isEndOfWord;
    }

    public static void main(String[] args) {
        Trie trie = new Trie();
        trie.insert("apple");
        trie.insert("banana");
        trie.insert("orange");

        String sentence1 = "I like apple pie";
        String sentence2 = "This is a test sentence";

        System.out.println("Sentence 1 match: " + trie.search(sentence1)); // apple
        System.out.println("Sentence 2 match: " + trie.search(sentence2)); // null
    }
}