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Optimized generation method of Twitter text and electronic equipment

An electronic device, text technology, applied in text database query, unstructured text data retrieval, special data processing applications, etc., can solve the problems of inaccurate text content and rich variety of product tweets, and achieve rich variety and improved Speed ​​and accuracy, the effect of accurate product content

Active Publication Date: 2021-08-13
冠传网络科技(南京)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems in the prior art that the text content of product tweets is not accurate enough and the types are not rich enough, this application provides an optimized generation method and electronic equipment for tweet texts

Method used

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  • Optimized generation method of Twitter text and electronic equipment

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Embodiment Construction

[0019] In order to make the objects, technical solutions, and advantages of the present invention, the present invention will be further described in detail below in connection with the embodiments of the present invention. It should be understood that the specific embodiments described herein are merely intended to illustrate the invention and are not intended to limit the invention. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0020] In this application Example 1, a method of optimizing a text text is proposed, and a specific method is elaborated as an example of a beauty product. Note that the brands, product names, and specific effects described below are referred to, and the purpose of the present application is not shown in the actual product or product effect. like figure 1 As shown, the main steps are as follows:

[0021] S1, using the Fine-Tune combined w...

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Abstract

The invention provides an optimization generation method of a Twitter text and electronic equipment. An initial text is generated through historical Twitters and a model trained by combining pre-training with a cyclic convolution mode, then entities in the current text are recognized and replaced, and when it is determined that a corresponding relation in the replaced text has an error, a data knowledge graph is utilized to correct the error relationship in the generated initial text, so that the generation of the Twitters with accurate product content and rich types is realized, the demand of popularizing articles is met, the speed and accuracy of model training are improved, and the optimized Twitters which better conform to reading habits and are rich in types can be quickly obtained.

Description

Technical field [0001] The present application relates to the field of natural language processing, in particular, relating to an optimization method and electronic device of a tendon text. Background technique [0002] In the 21st century information technology, the new era of high-speed development, traditional media (newspapers, television, broadcasting, etc.) due to the age of readers, the periodicity of the communication information, the finance of the media, and the market in information dissemination Sharing is getting smaller and gradually being replaced by new media. In addition, compared to traditional media, the language used in the relatively rigorous conventional media, the language used in the new media is more speaking, and the requirements of the network users have no conventional media. At the same time, the new media may disseminate massive information because there is no limitations of cyclical and media propagation carriers to expose massive information in ord...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/36G06K9/62
CPCG06F16/3344G06F16/367G06F18/214
Inventor 苏旋郭轩沈红伟
Owner 冠传网络科技(南京)有限公司