Study on Topic Intensity Evolution Law of Web News Topic Based on Topic Content Evolution

The Time Pre-discretized model is firstly adopted to extract web news topic, then a model of topic content evolution is adopted based on the analysis of topic clusters, on which basis a quantification method of topic content is proposed. Experiments on the data sets from social web media find a Pearson correlation coefficient (PCC) of 0.74 between the sequence of topic intensity and that of topic content complexity based on the above quantification method, and a more than 71.5% chance of the simultaneous increase/decrease is observed, showing the “increase or decrease together” law of topic intensity evolution based on topic content evolution.