Incremental Clustering: An Example of Legislative Interpellation

應用漸進式分群於立法委員之質詢

黃郁慈(Yu-Tze Huang)

指導教授 ： 林福仁

國立清華大學/科技管理學院/科技管理研究所/碩士(2010年)

摘要

The Parliamentary Library of Legislative Yuan website provides a fair and objective channel for the public to track daily activities of the Legislative Yuan and legislators’ inquiries. However the increased information content cause information overloading problem. To mitigate this program, this study proposed an incremental clustering mechanism to renew the information regularly and transform information from text to statics.
This study first initiates a basic categorical structure by two-stage clustering algorithm. Then the incremental clustering method is applied to group related documents corresponding to the same topic into clusters and designates these clusters into existing category or create a new category.
Experimental results show the effectiveness of that the proposed incremental clustering method, which enables the management of hierarchical categorical structure on legislative interpellation. With this results, people can track the legislative activities using the information from the Parliamentary Library of Legislative Yuan to recognize the interpellations in each category.

關鍵字

漸進式分群 ； 質詢 ； 立法院

並列摘要

無資料

並列關鍵字

Incremental clustering ； Interpellation ； Legislation

參考文獻

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