Design and Implementation of Rapid Information Acquisition and Analysis System

被引：3
|
作者：
Fu, Hai-Yan [1 ]
Li, Yu [1 ]
Sun, Xue-Chao [1 ]
机构：
[1] Hainan Normal Univ, Sch Informat Sci & Technol, Haikou, Hainan, Peoples R China
来源：
2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019) | 2019年
基金：
中国国家自然科学基金; 海南省自然科学基金;
关键词：
fast acquisition; data cleaning; emotional judgment; word cloud; hot topics;
D O I：
10.1109/CIS.2019.00093
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the era of big data, extracting valuable information from huge and complicated information has become a difficult issue. The work designed a rapid information acquisition and analysis system for Zhihu Forum. The client of system used the Bootstrap front-end development framework, JavaScript framework Jquery, asynchronous JavaScript and XML Ajax to develop visual interface. The main function of the server was to use the crawler technology to quickly obtain the forum information based on python environment. Moreover, Jieba segmentation was used to segment the text data, and then the generalized word cloud was generated according to the frequency of each word in the text. The proportion of positive affectivity was given by using the third-party tool snowNLP to judge the emotion. Finally, the top ten posts are selected as hot topics for reference by the number of likes. The development and application of the system can improve the information acquisition and analysis of users.
引用
收藏
页码：399 / 401
页数：3
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