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- W3044265256 abstract "Language is a symbol of human civilization, an important carrier of culture. Firstly, it describes the human linguistics and the current situation of Japanese female language emotions. Secondly, it constructs a genetic algorithm for informational education. It elaborates on the retrieval and recognition of network retrieval information. Finally, it tests the algorithm and uses the IPSOBP algorithm to model the genetic algorithm in the model. Iterative training was performed and the test of the algorithm test set was performed using JMeter software. The test results showed that the algorithm and model constructed in this paper passed the test and had certain reliability and stability, and had the potential for further promotion." @default.
- W3044265256 created "2020-07-29" @default.
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- W3044265256 date "2020-07-21" @default.
- W3044265256 modified "2023-10-16" @default.
- W3044265256 title "Recognition Algorithm for Emotion of Japanese Feminine Terms Based on Generalized Semantic Analysis" @default.
- W3044265256 cites W2215924722 @default.
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- W3044265256 doi "https://doi.org/10.1007/978-3-030-51556-0_62" @default.
- W3044265256 hasPublicationYear "2020" @default.
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