Abstract: The present disclosure provides data processing methods and apparatuses. One exemplary data processing method includes: acquiring interview data about candidates of a set historical period, the interview data of the set historical period including interview data of separate interview rounds, and the interview data of each interview round including a candidate, an interviewer, and an interview result; and evaluating interviewers based on differences of interview results of different interviewers. The present disclosure can automatically use massive historical interview data to evaluate the interview abilities of interviewers. On one hand, the workload of manual evaluation of the interviewers is reduced, thereby reducing the interviewer team management cost of an enterprise. On the other hand, the evaluation of the interview abilities of the interviewers is more objective and accurate, helping the enterprise to choose excellent interviewers and thus improving the interview performance of the enterprise.