People often have a preference among synonyms of the same word. For example, some may prefer "the police", while others may prefer "the cops". Analyzing such patterns can help to narrow down a speaker's identity, which is useful when validating, for example, whether it's still the same person behind an online avatar.
Now given a paragraph of text sampled from someone's speech, can you find the person's most commonly used word?
Input Specification:
Each input file contains one test case. For each case, there is one line of text no more than 1048576 characters in length, terminated by a carriage return '\n'. The input contains at least one alphanumerical character, i.e., one character from the set [0-9 A-Z a-z].
Output Specification:
For each test case, print in one line the most commonly occurring word in the input text, followed by a space and the number of times it has occurred in the input. If there are more than one such words, print the lexicographically smallest one. The word should be printed in all lower case. Here a "word" is defined as a continuous sequence of alphanumerical characters separated by non-alphanumerical characters or the line beginning/end.
Note that words are case insensitive.
Sample Input:
Can1: "Can a can can a can? It can!"
Sample Output:
can 5#include<cstdio>
#include<cstring>
#include<vector>
#include<algorithm>
#include<iostream>
#include<string>
#include<set>
#include<map>
#include<utility>
using namespace std;
int main() {
map<string, int> pattern;
string s,tmp;
getline(cin, s);
for (int i = 0; i < s.length(); i++) {
while (i < s.length()) {
if (s[i] >= '0'&&s[i] <= '9' || s[i] >= 'a'&&s[i] <= 'z' || s[i] >= 'A'&&s[i] <= 'Z') {
if (s[i] >= 'A'&&s[i] <= 'Z') s[i] += 32;
tmp += s[i];
//cout << s[i] <<" "<<tmp<<endl;
}
else break;
i++;
}
if (tmp.empty()) continue;
else {
if (pattern.find(tmp) != pattern.end())
pattern[tmp]++;
else
pattern[tmp] = 1;
tmp.clear();
}
}
map<string, int>::iterator it;
int max=0;
string max1;
for (it = pattern.begin(); it != pattern.end(); it++) {
if (it->second > max) {
max = it->second;
max1 = it->first;
}
}
cout << max1 << " " << max<<endl;
return 0;
}
本文介绍了一种分析文本中单词偏好的方法,通过统计个人使用的特定词汇频率来辨认说话者的身份,这对于验证在线账户背后是否为同一人具有重要意义。文章提供了一个示例程序,用于找出输入文本中最常出现的单词。
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