【摘要】 利用网络搜索关键词的搜索量变化来分析和预测相关事物发展趋势是一种逐渐被广泛关注的研究领域。提出网络搜索关键词时序变化特征包括领先、同步和滞后三种特征。通过采集搜索网站关键词的搜索量数据,针对分析预测对象进行时差相关分析,可以识别出相关关键词时序变化特征。通过H7N9禽流感关键词时序变化特征识别实验,说明该方法的可行性。更多还原

【Abstract】 Analyzing and predicting the development trend of things concerned based on the keyword Web search is a research area being increasingly widely studied.The three features of the timing variation of Web search keywords include taking lead,synchronic and lagging behind.Based on the keyword search volume data collected from search websites,using time equation correlation analysis,the relevant keywords timing variation features can be identified.The feasibility of the method described is verified by an H7N9 avian influenza keywords experiment.更多还原