CAJ | 학술논문

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H7 N9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。
이용망락수색관건사적수색량변화래분석화예측상관사물발전추세시일충축점피엄범관주적연구영역。제출망락수색관건사시서변화특정포괄령선、동보화체후삼충특정。통과채집수색망참관건사적수색량수거，침대분석예측대상진행시차상관분석，가이식별출상관관건사시서변화특정。통과H7 N9금류감관건사시서변화특정식별실험，설명해방법적가행성。
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 key-words experiment.