Automatic Summarization and Keyword Extraction from Web Page or Text File

Xiangdong You
{"title":"Automatic Summarization and Keyword Extraction from Web Page or Text File","authors":"Xiangdong You","doi":"10.1109/CCET48361.2019.8989315","DOIUrl":null,"url":null,"abstract":"In this paper, we study the automatic summarization and keyword extraction techniques for web page and text file. First, we use the Readability algorithm to extract the text of the web page, and study the PageRank algorithm and TextRank algorithm, and then use the TextRank algorithm to extract keywords, key sentences and abstracts. We also develop the web application that processes web page and text file. The application can input URL, text file, or text paragraph, then application can complete the extraction of main content, abstract, keywords and key sentences.","PeriodicalId":231425,"journal":{"name":"2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCET48361.2019.8989315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, we study the automatic summarization and keyword extraction techniques for web page and text file. First, we use the Readability algorithm to extract the text of the web page, and study the PageRank algorithm and TextRank algorithm, and then use the TextRank algorithm to extract keywords, key sentences and abstracts. We also develop the web application that processes web page and text file. The application can input URL, text file, or text paragraph, then application can complete the extraction of main content, abstract, keywords and key sentences.
自动摘要和关键字提取从网页或文本文件
本文主要研究了网页和文本文件的自动摘要和关键词提取技术。首先,我们使用可读性算法提取网页文本,并研究PageRank算法和TextRank算法,然后使用TextRank算法提取关键词、关键句和摘要。我们还开发了处理网页和文本文件的web应用程序。应用程序可以输入URL、文本文件或文本段落,然后应用程序可以完成主要内容、摘要、关键字和关键句的提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信