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Method of searching and mining of social information on Internet based on Elasticsearch
Method of searching and mining of social information on Internet based on Elasticsearch
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机译:基于Elasticsearch的互联网社交信息搜索与挖掘方法
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#$%^&*AU2019101463A420200123.pdf#####ABSTRACT This invention lies in the field of Information Retrival. It can help search and analyse social network information based on Elasticsearch. The invention consists of the following steps: Firstly, we use web crawler to acquire a sufficient number of information from the social media. Secondly, we use IK analyser to seperate each meaningful word or phrase. Thirdly, we imported the data into Elasticseach and created inverted index. By constantly adjusting the process of creating inverted index, the model will reach the optimal performance. Finally, when key words are input, the ranked revelant information would be displayed by the system. In brief, this invention can automatically select the information of a particular field that you are interested in. 1Text source Text analysis Word Segmentation Data Processing Date Processing Title Reco n POS Tagging Text Structure Analyzer Feature Extraction Characteristic words and weight Key words summary Specific information extraction Searching and classifying Clustering filtering UI And Presentation Search lt Browse Users Figure 1 ALL OF TEXTS ABOGH, l,J RELEVANT TEXTS DEF RETRIEVED AND RELEVANT EXTS L M 24RIEVED TEXT Figure 2
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机译:#$%^&* AU2019101463A420200123.pdf #####抽象本发明属于信息检索领域。它可以帮助搜索和分析基于Elasticsearch的社交网络信息。本发明包括以下内容步骤:首先,我们使用网络搜寻器从以下网址获取足够数量的信息:社交媒体。其次,我们使用IK分析器将每个有意义的单词或短语分开。第三,我们将数据导入Elasticseach,并创建了倒排索引。通过不断调整创建倒排索引的过程,模型将达到最佳性能。最后,当输入关键词时,排名的启示信息将由系统显示。简而言之,本发明可以自动选择您感兴趣的特定字段的信息。1个文字来源文字分析分词数据处理日期处理标题识别POS标签文字结构分析仪特征提取特征词和重量关键词总结具体信息提取搜索和分类聚类过滤用户界面和演示搜索并浏览用户数图1全部文字上面,,相关文本定义已检索和相关的EXTSL M 24引文图2
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