| 舆情事件网页内容的词汇关联分析算法实现研究 |
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| 引用本文： | 王兰成,刘晓亮.舆情事件网页内容的词汇关联分析算法实现研究[J].信息工程大学学报,2014,15(1):105-110. |
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| 作者姓名： | 王兰成 刘晓亮 |
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| 作者单位： | 南京政治学院上海校区军事信息管理系,上海200433 |
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| 摘 要： | 基于舆情事件的词汇关联分析,既是面向网络舆情的情报研究中的一项关键技术,也是保证和提高网络舆情分析质量的一个重要途径.文章研究基于词跨度的关键词获取算法,对候选
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| 关 键 词： | 舆情事件 关键词抽取 关联分析 |
Research on the Analysis Algorithm of Word Co-Occurrence on Public Opinion Evens |
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| WANG Lan-cheng,LIU Xiao-liang.Research on the Analysis Algorithm of Word Co-Occurrence on Public Opinion Evens[J].Journal of Information Engineering University,2014,15(1):105-110. |
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| Authors: | WANG Lan-cheng LIU Xiao-liang |
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| Affiliation: | (Department of Information Management, Shanghai Campus of Political College, Shanghai 200433, China) |
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| Abstract: | The words co occurrence analysis on public opinions is not only a key technology in network public opinion analysis, but also an important way to ensure and improve quality of network public opinion analysis. This paper studies the acquisition algorithm based on word span keywords which filters out unrelated words. Word frequency is computed and the location of candidate keywords is marked. The computing vocabulary between the co occurrence rate algorithm is studied through limited scope and results of group with methods to identify the relationship between words, and a set of keywords are drawn. Experimental test has achieved good results and verifies the significant application value for improving the quality of public opinion analysis. |
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| Keywords: | public opinion event keyword extraction correlation analysis |
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