Web News Data Extraction Technology Based on Text Keywords
In order to shorten the time for users to query news on the Internet, this paper studies and designs a network news data extraction technology, which can obtain the main news information through the extraction of news text keywords. Firstly, the TF-IDF keyword extraction algorithm, TextRank keyword...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5529447 |
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| _version_ | 1850174306745581568 |
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| author | Kun Zhang |
| author_facet | Kun Zhang |
| author_sort | Kun Zhang |
| collection | DOAJ |
| description | In order to shorten the time for users to query news on the Internet, this paper studies and designs a network news data extraction technology, which can obtain the main news information through the extraction of news text keywords. Firstly, the TF-IDF keyword extraction algorithm, TextRank keyword extraction algorithm, and LDA keyword extraction algorithm are analyzed to understand the keyword extraction process, and the TF-IDF algorithm is optimized by Zipf’s law. By introducing the idea of model fusion, five schemes based on waterfall fusion and parallel combination fusion are designed, and the effects of the five schemes are verified by experiments. It is found that the designed extraction technology has a good effect on network news data extraction. News keyword extraction has a great application prospect, which can provide the basis for the research fields of news key phrases, news abstracts, and so on. |
| format | Article |
| id | doaj-art-c6b7f6cfb9a24ef8b49e70b03deb1802 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c6b7f6cfb9a24ef8b49e70b03deb18022025-08-20T02:19:41ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55294475529447Web News Data Extraction Technology Based on Text KeywordsKun Zhang0School of Communication, Xi’an Peihua University, Xi’an City, ChinaIn order to shorten the time for users to query news on the Internet, this paper studies and designs a network news data extraction technology, which can obtain the main news information through the extraction of news text keywords. Firstly, the TF-IDF keyword extraction algorithm, TextRank keyword extraction algorithm, and LDA keyword extraction algorithm are analyzed to understand the keyword extraction process, and the TF-IDF algorithm is optimized by Zipf’s law. By introducing the idea of model fusion, five schemes based on waterfall fusion and parallel combination fusion are designed, and the effects of the five schemes are verified by experiments. It is found that the designed extraction technology has a good effect on network news data extraction. News keyword extraction has a great application prospect, which can provide the basis for the research fields of news key phrases, news abstracts, and so on.http://dx.doi.org/10.1155/2021/5529447 |
| spellingShingle | Kun Zhang Web News Data Extraction Technology Based on Text Keywords Complexity |
| title | Web News Data Extraction Technology Based on Text Keywords |
| title_full | Web News Data Extraction Technology Based on Text Keywords |
| title_fullStr | Web News Data Extraction Technology Based on Text Keywords |
| title_full_unstemmed | Web News Data Extraction Technology Based on Text Keywords |
| title_short | Web News Data Extraction Technology Based on Text Keywords |
| title_sort | web news data extraction technology based on text keywords |
| url | http://dx.doi.org/10.1155/2021/5529447 |
| work_keys_str_mv | AT kunzhang webnewsdataextractiontechnologybasedontextkeywords |