关键词: 网络舆情, 案例推理, 案例表示, 案例检索, 相似度

Abstract: In order to meet the need of monitoring and aided decision of internet public opinion, a case-based reasoning (CBR) framework for aided decision system of internet public opinion is proposed. Firstly, a survey of study on internet public opinion is made, and the significance of research for aided decision system of internet public opinion based on CBR is given; secondly, the workflow of aided decision system of internet public opinion based on CBR is analyzed, and the framework for aided decision system of internet public opinion based on CBR is proposed; then the key elements of aided decision system of internet public opinion based on CBR are analyzed, such as case representation and case retrieval, and the implementation methods of them are given in detail; finally, a prototype system based on the above is shown, and experimental results show that it is efficient to realize the aided decisions with this system.

Key words: internet public opinion, case-based reasoning (CBR), case representation, case retrieval, similarity degree