|시간 제한||메모리 제한||제출||정답||맞은 사람||정답 비율|
|1 초||128 MB||87||65||64||77.108%|
Term frequency–Inverse document frequency (tf-idf) is a numerical statistic which reflects the importance of words in a document collection. It is often used in information retrieval system. The number of times a word appears in the document (word frequency) is one of the major factors to acquire tf-idf.
You are asked to write a program to find the most frequent word in a document.
The first line contains an integer n (1≤ n ≤ 1000) which determines the number of words. The following n lines include the list of words, one word per line. A word contains only lower-case letters and it can contain up to 20 characters.
Print out the word that has the highest frequency and its frequency, separated by a single space. If you get more than 2 results, choose only the one that comes later in the lexicographical order.
10 mountain lake lake zebra tree lake zebra zebra animal lakes