효율적인 자연어 처리를 위해 C++를 사용하는 방법은 무엇입니까?

#include <iostream>
#include <string>
#include <vector>
#include <regex>
#include <algorithm>
#include <nltk.h>

std::vector<std::string> preprocessText(const std::string& text) {
    // 去除标点符号和特殊字符
    std::string cleanText = std::regex_replace(text, std::regex("[^a-zA-Z0-9 ]"), "");

    // 文本分词
    std::vector<std::string> tokens = nltk::word_tokenize(cleanText);
    
    // 去除停用词
    std::vector<std::string> stopwords = nltk::corpus::stopwords::words("english");
    std::vector<std::string> filteredTokens;
    
    std::copy_if(tokens.begin(), tokens.end(), std::back_inserter(filteredTokens), 
                 [&](const std::string& token) {
                     return std::find(stopwords.begin(), stopwords.end(), token) == stopwords.end();
                 });
    
    // 词形还原
    std::vector<std::string> lemmatizedTokens = nltk::lemmatize(filteredTokens);
    
    return lemmatizedTokens;
}

int main() {
    std::string text = "This is an example text for natural language processing.";
    
    std::vector<std::string> preprocessedText = preprocessText(text);

    for (const std::string& token : preprocessedText) {
        std::cout << token << std::endl;
    }
    
    return 0;
}

example
text
natural
language
processing

#include <iostream>
#include <string>
#include <regex>
#include <vector>

std::vector<std::string> extractEntities(const std::string& text) {
    std::regex pattern(R"(([A-Z][a-z]+)s([A-Z][a-z]+))");
    std::smatch matches;
    
    std::vector<std::string> entities;
    
    std::string::const_iterator searchStart(text.cbegin());
    while (std::regex_search(searchStart, text.cend(), matches, pattern)) {
        std::string entity = matches[0];
        entities.push_back(entity);
        searchStart = matches.suffix().first;
    }
    
    return entities;
}

int main() {
    std::string text = "I love Apple and Google.";
    
    std::vector<std::string> entities = extractEntities(text);
    
    for (const std::string& entity : entities) {
        std::cout << entity << std::endl;
    }
    
    return 0;
}

Apple and
Google

#include <iostream>
#include <string>
#include <vector>

std::string classifyText(const std::string& text, const std::vector<std::string>& classes) {
    // 模型训练和评估代码
    
    // 假设模型已经训练好并保存在文件中
    std::string modelPath = "model.model";
    
    // 加载模型
    // model.load(modelPath);
    
    // 对文本进行分类
    std::string predictedClass = "unknown";
    // predictedClass = model.predict(text);
    
    return predictedClass;
}

int main() {
    std::string text = "This is a test sentence.";
    std::vector<std::string> classes = {"pos", "neg"};
    
    std::string predictedClass = classifyText(text, classes);
    
    std::cout << "Predicted class: " << predictedClass << std::endl;
    
    return 0;
}

Predicted class: unknown