Automatic Chinese Catchword Extraction Based on Time Series Analysis

Catchwords refer to those popular words or phrases in a time period. In this paper, we propose a novel approach for automatic extraction of Chinese catchwords. By analyzing features of catchwords, we define three aspects to describe Popular Degree of catchwords. Then we use curve fitting in Time Series Analysis to build Popular Degree Curves of the extracted terms. Finally we give a formula that can calculate Popular Degree values of catchwords and get a ranking list of catchword candidates. Experiments show that the method is effective.