C++技术中的大数据处理：如何实现高效的文本挖掘和大数据分析？

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

using namespace std;

int main() {
  // 从文件加载文本
  ifstream ifs("input.txt");
  string line;
  vector<string> lines;
  while (getline(ifs, line)) {
    lines.push_back(line);
  }

  // 对文本进行分词
  vector<string> tokens;
  for (string line : lines) {
    size_t start = 0, end = 0;
    while ((end = line.find(' ', start)) != string::npos) {
      tokens.push_back(line.substr(start, end - start));
      start = end + 1;
    }
  }

  // 统计词频
  map<string, int> word_counts;
  for (string token : tokens) {
    word_counts[token]++;
  }

  // 输出词频最高的前 10 个单词
  int count = 0;
  for (auto pair : word_counts) {
    if (count++ < 10) {
      cout << pair.first << " " << pair.second << endl;
    }
  }

  return 0;
}

#include <iostream>
#include <fstream>
#include <vector>
#include <numeric>
#include <algorithm>

using namespace std;

int main() {
  // 从文件加载数据
  ifstream ifs("data.csv");
  vector<double> data;
  string value;
  while (getline(ifs, value, ',')) {
    data.push_back(stod(value));
  }

  // 计算平均值
  double avg = accumulate(data.begin(), data.end(), 0.0) / data.size();

  // 计算标准差
  double sum_of_squares = 0.0;
  for (double x : data) {
    sum_of_squares += (x - avg) * (x - avg);
  }
  double stddev = sqrt(sum_of_squares / data.size());

  // 输出结果
  cout << "平均值：" << avg << endl;
  cout << "标准差：" << stddev << endl;

  return 0;
}