Study on hot topics identification and key issues in on-line news about emergency events

Concerning the system of hot topics detection about the emergency events, an overall technical framework is established to implement the system. Description and solution strategy about the key issues in the four components of the system are provided. In terms of the content and structure features of the news reports as well as the distribution feature of the report sources, the text clipping method and the modified model of feature weighting calculation are proposed based on the VSM text representation model and the TF-IDF formula. The news reports about the earthquake emergency event are evaluated for this model as the data sources. Experiment results indicate that the information such as the headline, the lead and relevant feature parameters by clipping the main body of the news report can be considered as the sample set of the hot topics to be identified. Furthermore, compared with the classical model, the modified feature items weighting calculation model is more efficient in execution and more adaptive in terms of the text representation capability.