Method and system for extracting dynamic information of smart home industry

A smart home and dynamic information technology, applied in the computer field, can solve the problems of high quality training data and achieve the effect of improving coverage and efficiency, and improving learning ability

Pending Publication Date: 2021-03-09
南京数脉动力信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional machine learning algorithm extracts text features based on artificial feature engineering, which has certain limitations in the accuracy and robustness of text cl...

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  • Method and system for extracting dynamic information of smart home industry
  • Method and system for extracting dynamic information of smart home industry
  • Method and system for extracting dynamic information of smart home industry

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Embodiment Construction

[0039] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0040] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a method and a system for extracting dynamic information of the smart home industry, and provides a method for constructing automatic industry dynamic trend capture and automatically generating a report on the basis of industry dynamic data capture and extraction tasks in the field of smart home. According to the method, a smart industry dynamic data extraction mode combining industry priori knowledge and natural language processing sequence annotation can be provided on the basis of the smart home industry background and article structural information extraction, and meanwhile, an industry research report is automatically generated in combination with a text classification model based on deep learning and paragraph abstract extraction of multiple types of indexes. Moreover, the method is a process where a machine learning algorithm is deeply combined with business features of the smart home industry, a natural language analysis business process with a good prediction effect is researched through a large number of practices, the algorithm is efficient and highly targeted, and the process flow highly conforms to a data analysis business, and the success rate of data extraction and report generation is relatively high.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for extracting dynamic information of the smart home industry. Background technique [0002] As an emerging industry in the Internet era, the smart home industry has shown a stronger growth trend with the rapid development of 5G and Internet of Things technologies. How to make timely responses and decisions based on the latest market developments has become the key to grasping the smart home market. The main source of smart home industry dynamics is Internet information articles. Traditional industry dynamic analysis relies on manual reading to find relevant data in huge article reports, and organizes and records them. The information consists of industry weekly reports and industry monthly reports. This work requires specialized personnel to spend 2-3 working days a week on data search, screening, typesetting, etc., which consumes a lot of human resources. ...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/211G06F16/35G06F16/34G06N3/04G06N3/08
CPCG06F40/295G06N3/08G06F16/353G06F16/345G06F40/211G06N3/045
Inventor 王元晓蒋秋霞
Owner 南京数脉动力信息技术有限公司
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