Association analysis has attracted considerable attention recently in many research fields, mining data relations and rules from huge volume of data especially. This study aims at mining issues of public concern and analyzing its relations from massive of unstructured data. The main resource of this study is environmental related documents from PTT bulletin board system. A model is constructed via the collected environmental documents for predictions of issues of public concerns and possible future directions. The experimental results show that mining information from documents of PTT bulletin board system can effectively understand the public concerns and predict possible future directions. The reports from the prediction system may be used as a reference for environmental authorities. The prediction model we propose not only precisely masters of opinions from public to improve the administrative quality of environmental authorities, but also strengthens the content of press release to cover and answer the significant important issues of public concerns. The prediction system can be also applied to different applications, such as market investigation and opinion analysis.
關聯分析意見探勘議題偵測
王界人、沈民新
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工業技術研究院巨資中心
工業技術硏究院巨資中心
關聯分析 意見探勘 議題偵測
Conference on Computational Linguistics and Speech Processing
Hsinchu(CT)
27th Conference on Computational Linguistics and Speech Processing
NETL
