Research progress and trend of text summarization
With the explosive growth of information on the Internet,how to extract useful information from massive information has become a key technical issue.The text summarization technology can compress and extract refined and concise document information from big data,effectively reducing the user informa...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2018-06-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018048 |
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| _version_ | 1841530164487389184 |
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| author | Tuosiyu MING Hongchang CHEN |
| author_facet | Tuosiyu MING Hongchang CHEN |
| author_sort | Tuosiyu MING |
| collection | DOAJ |
| description | With the explosive growth of information on the Internet,how to extract useful information from massive information has become a key technical issue.The text summarization technology can compress and extract refined and concise document information from big data,effectively reducing the user information overload problem,and it has become a research hotspot.The domestic and foreign text summarization methods and their concrete realization in recent years were analyzed,the advantages and disadvantages between traditional methods and deep learning summary methods were compared,and a reasonable outlook for future research directions was made. |
| format | Article |
| id | doaj-art-b9b53667709146f0b676472f678f610a |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2018-06-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-b9b53667709146f0b676472f678f610a2025-01-15T03:12:53ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-06-01411059553526Research progress and trend of text summarizationTuosiyu MINGHongchang CHENWith the explosive growth of information on the Internet,how to extract useful information from massive information has become a key technical issue.The text summarization technology can compress and extract refined and concise document information from big data,effectively reducing the user information overload problem,and it has become a research hotspot.The domestic and foreign text summarization methods and their concrete realization in recent years were analyzed,the advantages and disadvantages between traditional methods and deep learning summary methods were compared,and a reasonable outlook for future research directions was made.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018048big datatext summarizationmachine learningtraditional methodsdeep learning |
| spellingShingle | Tuosiyu MING Hongchang CHEN Research progress and trend of text summarization 网络与信息安全学报 big data text summarization machine learning traditional methods deep learning |
| title | Research progress and trend of text summarization |
| title_full | Research progress and trend of text summarization |
| title_fullStr | Research progress and trend of text summarization |
| title_full_unstemmed | Research progress and trend of text summarization |
| title_short | Research progress and trend of text summarization |
| title_sort | research progress and trend of text summarization |
| topic | big data text summarization machine learning traditional methods deep learning |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018048 |
| work_keys_str_mv | AT tuosiyuming researchprogressandtrendoftextsummarization AT hongchangchen researchprogressandtrendoftextsummarization |