Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era
With the continuous development of new media technology, the spiritual needs of the masses have been greatly satisfied and the aesthetic ability has also been significantly improved compared with the past. From the current point of view, “literary works,” as the spiritual food of contemporary people...
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/3616432 |
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| author | Weiwei Guo |
| author_facet | Weiwei Guo |
| author_sort | Weiwei Guo |
| collection | DOAJ |
| description | With the continuous development of new media technology, the spiritual needs of the masses have been greatly satisfied and the aesthetic ability has also been significantly improved compared with the past. From the current point of view, “literary works,” as the spiritual food of contemporary people, are promoting social spirit. The use of natural language processing and knowledge graph technology can improve cultural cognition to promote the dissemination and development of classic English literature, which has become a necessary means of dissemination of classic English literature. Most of the existing classic English literary works are appreciated based on modern literature datasets. Nowadays, with the continuous development of new media technology, there are fewer studies on the dissemination and cultural cognition of classic English literary works. This makes it impossible for readers to obtain cultural cognition from classic English literary works, making it difficult for the dissemination and development of classic English literary works. In view of the above problems, using natural language processing and knowledge graph technology, taking Shakespeare's play “Hamlet” represented by classic English literary works as an example, the research on the construction method of knowledge graph is carried out and the cultural characteristics in literary works are extracted and analyzed. In parsing, a bidirectional gated recurrent unit network model based on hybrid character embedding is proposed. Based on n-gram embedding, by combining pretraining embedding and radical embedding, it can fully consider the rich semantic information in English literature works to extract. Feature: in terms of named entity recognition, based on the existing iterative atrous convolutional network model, an iterative atrous convolutional network model is proposed. To get the best sequence label and get the last labeled entity information, in terms of knowledge graph construction and visual query, a workflow method for building knowledge graph from unstructured text is proposed and a flask-based knowledge graph visual query system is designed, which applies the best model of the above two tasks. We decode the complete “Hamlet” text, extract entities and their semantic links as nodes and relationships in the knowledge graph, store knowledge through the graph database, and finally form a visual query system that combines the front and back end. |
| format | Article |
| id | doaj-art-3de21c65be784b208ed94cd71ab58966 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-3de21c65be784b208ed94cd71ab589662025-02-03T01:08:47ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/3616432Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media EraWeiwei Guo0Zhengzhou Vocational College of Industrial SafetyWith the continuous development of new media technology, the spiritual needs of the masses have been greatly satisfied and the aesthetic ability has also been significantly improved compared with the past. From the current point of view, “literary works,” as the spiritual food of contemporary people, are promoting social spirit. The use of natural language processing and knowledge graph technology can improve cultural cognition to promote the dissemination and development of classic English literature, which has become a necessary means of dissemination of classic English literature. Most of the existing classic English literary works are appreciated based on modern literature datasets. Nowadays, with the continuous development of new media technology, there are fewer studies on the dissemination and cultural cognition of classic English literary works. This makes it impossible for readers to obtain cultural cognition from classic English literary works, making it difficult for the dissemination and development of classic English literary works. In view of the above problems, using natural language processing and knowledge graph technology, taking Shakespeare's play “Hamlet” represented by classic English literary works as an example, the research on the construction method of knowledge graph is carried out and the cultural characteristics in literary works are extracted and analyzed. In parsing, a bidirectional gated recurrent unit network model based on hybrid character embedding is proposed. Based on n-gram embedding, by combining pretraining embedding and radical embedding, it can fully consider the rich semantic information in English literature works to extract. Feature: in terms of named entity recognition, based on the existing iterative atrous convolutional network model, an iterative atrous convolutional network model is proposed. To get the best sequence label and get the last labeled entity information, in terms of knowledge graph construction and visual query, a workflow method for building knowledge graph from unstructured text is proposed and a flask-based knowledge graph visual query system is designed, which applies the best model of the above two tasks. We decode the complete “Hamlet” text, extract entities and their semantic links as nodes and relationships in the knowledge graph, store knowledge through the graph database, and finally form a visual query system that combines the front and back end.http://dx.doi.org/10.1155/2022/3616432 |
| spellingShingle | Weiwei Guo Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era Advances in Multimedia |
| title | Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era |
| title_full | Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era |
| title_fullStr | Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era |
| title_full_unstemmed | Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era |
| title_short | Correlation between the Dissemination of Classic English Literary Works and Cultural Cognition in the New Media Era |
| title_sort | correlation between the dissemination of classic english literary works and cultural cognition in the new media era |
| url | http://dx.doi.org/10.1155/2022/3616432 |
| work_keys_str_mv | AT weiweiguo correlationbetweenthedisseminationofclassicenglishliteraryworksandculturalcognitioninthenewmediaera |