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A books promotion abstractive summarization method based on prompt learning and T5 PEGASUS
Li Daifeng,Lin Kaixin,Li Xuting
(School of Information Management，Sun Yat－Sen University，Guangzhou 510006，China)
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Abstract  

[Objective] To generate accurate propaganda words of books from book information quickly, and reduce the manpower and material resources consumed by purely artificial means.

[Application Background] Currently, there are few researches on the generation of automatic publicity summary of books. The library and online book market mostly use manual method to write publicity words for books, which increases the work burden.

[Methods] Based on the idea of prompt learning, the data set is constructed by crawling the book information, data enhancement and keyword extraction are used to increase the information, and finally T5 PEGASUS is input to get the basic propaganda. Summaries of book reviews are added when the number of book reviews reaches the threshold.

[Results] Compared with the optimal baseline model, the results of  Rouge-1、Rouge-2、Rouge-L were improved by 28.9%, 37.6% and 31.9%, respectively.

[Conclusions] According to the characteristics of the book corpus, the propaganda generated by the experiment process has practical application value.


Key words： Text summarization, Prompt learning, Data enhancement      Textrank,T5 PEGASUS      
Published: 29 July 2022
ZTFLH:  TP393，G250  
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Cite this article:

Li Daifeng, Lin Kaixin, Li Xuting. A books promotion abstractive summarization method based on prompt learning and T5 PEGASUS . Data Analysis and Knowledge Discovery, 0, (): 1-.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2022-0350     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y0/V/I/1

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