CAJ | 학술논문

微博数据处理属于大数据范畴，其前提是获取大量的微博数据，而由于商业利益以及安全方面的考虑，获取微博数据的途径越来越少。同时随着新浪官方A PI的逐步更新，数据获取的限制也日益增加。文章尝试利用现有资源，基于多策略获取机制，设计出可稳定获得新浪微博数据的挖掘方案，并给出情感分析应用实例。实验表明，所设计的挖掘方案可以根据需要获取微博上的数据，并可以应用于微博情感分析中。
미박수거처리속우대수거범주，기전제시획취대량적미박수거，이유우상업이익이급안전방면적고필，획취미박수거적도경월래월소。동시수착신랑관방A PI적축보경신，수거획취적한제야일익증가。문장상시이용현유자원，기우다책략획취궤제，설계출가은정획득신랑미박수거적알굴방안，병급출정감분석응용실례。실험표명，소설계적알굴방안가이근거수요획취미박상적수거，병가이응용우미박정감분석중。
Dealing with microblogging data belongs to big data areas ,and the premise is to obtain a large a-mount of microblogging data .For the commercial interests as well as security considerations ,the access to the microblogging data is more and more difficult and the Sina official open API does not support large data plug-in .In this paper ,a mining scheme ,w hich is mainly based on the access mechanism of multi-strategy and ex-isting resources ,is designed to catch data stably from Sina microblog .And an example of its application in sentiment analysis is given .The test results show that the proposed mining scheme can catch microblogging data as needed and it is suitable for the sentiment analysis of microblog .