Analysis and Design of Public Opinion Pre-Warning Analysis Platform Based on Vertical Search Engine

Kun Liu, Kun Ma, Zonglin Yue
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引用次数: 2

Abstract

Currently, numerous small and medium-sized enterprises and the local governments have been in the preliminary stage to develop the public opinion monitoring, and such monitoring task of these aspects is mainly realized artificially. For this reason, a reliable and high-efficient internet public opinion monitoring is urgently required to assist the monitoring of the public opinion. The web crawler technology and the search engine are adopted in this paper hereof to establish a public opinion pre-warning analysis platform being well geared into the requirement of the majority of the small and medium-sized enterprises and local governments. This platform shall set forth different fetching strategies in accordance with the different structures from various types of public opinion information, and the online public opinion data shall be collected by the commonly adopted web crawler. In the meantime, the suitable word segmentation shall be adopted, and the full-text retrieval engine shall be applied to fulfill the searching and index of the public opinion information. Eventually, a vertical searching method is designed in this paper, accordingly realizing the commonly used public opinion monitoring function and the topic monitoring function. Such method can be well adopted in the majority of the small and medium-sized enterprises and the institutions of local government to monitor the public opinion.
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基于垂直搜索引擎的舆情预警分析平台分析与设计
目前,众多中小企业和地方政府对舆情监测的开展还处于初级阶段,这些方面的监测任务主要是人工实现的。因此,迫切需要一种可靠、高效的网络舆情监测来辅助舆情监测。本文采用网络爬虫技术和搜索引擎,建立了一个适合广大中小企业和地方政府需求的舆情预警分析平台。本平台针对各类舆情信息的不同结构,制定不同的抓取策略,使用常用的网络爬虫对网络舆情数据进行采集。同时,采用合适的分词方法,利用全文检索引擎完成舆情信息的检索和索引。最终,本文设计了一种垂直搜索方法,从而实现了常用的舆情监测功能和话题监测功能。这种方法可以很好地应用于广大中小企业和地方政府机构进行舆论监测。
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