面向特定观点的网络舆情信息有用性排序
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中国科学院战略性先导科技专项 (C类)(XDC02060100)


Helpfulness Ranking of Network Public Opinion Information for Specific Viewpoints
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    摘要:

    网络舆情信息挖掘是舆情研究的重要课题. 在大量的信息面前, 为了快速发掘有用性高的舆情信息为舆情的分析、决策提供助力, 提出一种面向特定观点的舆情信息有用性排序方法, 实现快速发掘特定观点下有用舆情信息的目的. 该方法针对舆情信息的具体观点进行分析计算, 同时根据舆情信息可信度和关注度、传播者的影响力, 并且结合信息时效性等因素, 利用排序方法进行打分, 根据舆情信息的得分进行有用性排序. 实验结果表明, 该方法能很好的完成对舆情信息的推荐排序. 本研究理论上对舆情信息挖掘的研究理论进行补充, 现实意义对舆情管理者有很好的辅助作用, 能够为网络舆情引导工作提供助力.

    Abstract:

    The mining of network public opinion information is an important subject of public opinion research. To quickly discover useful public opinion information among a large amount of information and support public opinion analysis and corresponding decision-making, this study proposes a method of ranking the usefulness of public opinion information for specific viewpoints to achieve the purpose of quickly discovering useful public opinion information under specific viewpoints. This method analyzes and calculates the specific viewpoints of public opinion information and assigns scores to the information by a ranking method according to its credibility and attention and the influence of the disseminator with due consideration of the timeliness of the information and other factors. Then, the public information is ranked in terms of usefulness according to its score. The experimental results show that the proposed method performs well in the recommendation ranking of public opinion information. This research theoretically supplements the research theory of public opinion information mining. Concerning practical significance, it can well assist public opinion managers as it provides a boost to the guidance of network public opinions.

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齐宝森,杜义华.面向特定观点的网络舆情信息有用性排序.计算机系统应用,2022,31(12):235-241

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  • 收稿日期:2022-03-14
  • 最后修改日期:2022-04-12
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  • 在线发布日期: 2022-07-14
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