现代情报
現代情報
현대정보
Journal of Modern Information
2012年
4期
8~13
,共null页
网络舆情安全 舆情分析 主题分类
網絡輿情安全 輿情分析 主題分類
망락여정안전 여정분석 주제분류
network public opinion; public opinion analysis; subject classification
针对网络舆情安全应用中主题分类问题展开研究。主题分类需要解决5个问题。建立了网络舆情安全应用的分类体系;介绍了文档特征提取和选择方法;分析了向量空间模型;实现了KNN和SVM两种分类算法。验证了方法的实用性。
針對網絡輿情安全應用中主題分類問題展開研究。主題分類需要解決5箇問題。建立瞭網絡輿情安全應用的分類體繫;介紹瞭文檔特徵提取和選擇方法;分析瞭嚮量空間模型;實現瞭KNN和SVM兩種分類算法。驗證瞭方法的實用性。
침대망락여정안전응용중주제분류문제전개연구。주제분류수요해결5개문제。건립료망락여정안전응용적분류체계;개소료문당특정제취화선택방법;분석료향량공간모형;실현료KNN화SVM량충분류산법。험증료방법적실용성。
The problem of subject classification on network public opinion in public safety was addressed in this paper. Subject dassificafion need to solve five issues. Firstly, a classification system was established on network public opinion in public safety. Secondly, methods of document feature extraction and selection were introduced. Thirdly, the vector space model was analyzed. Then, Two kinds of classification algorithms, KNN and SVM were implemented. Finally, the result of experiments were proposed.
