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Industry text emotion obtaining method, device and storage medium

An acquisition method and emotion technology, applied in the field of industrial text emotion acquisition methods, devices and storage media

Pending Publication Date: 2019-01-29
数地工场(南京)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the grinding problem of complex die-casting parts, the present invention provides an industry text emotion acquisition method, device and storage medium, realizes accurate judgment of emotion in long text chapters, and improves adaptability and efficiency

Method used

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  • Industry text emotion obtaining method, device and storage medium
  • Industry text emotion obtaining method, device and storage medium

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Embodiment Construction

[0095] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0096] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0097] In addition, if there are descriptions involving "first", "second" and ...

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Abstract

The invention discloses an industry text emotion obtaining method, device and a storage medium, which relate to the technical field of natural language processing big data analysis. The method includes carrying out emotion sentence recognition on clauses in combination with an emotion knowledge base of a target field so as to form an emotion sentence set; according to the constructed affective dependency tree, determining a method of obtaining the scores of affective dependency; the long sentences are segmented into clauses, and the emotional scores of clauses, long sentences and paragraphs are obtained according to the method of obtaining the emotional dependency scores of the target text. Through the practical application test, the industry text emotion calculation method provided by theinvention can better reflect the industry text emotion, and the accuracy rate reaches 85% in the calculation of the long text chapter level emotion. Aiming at the texts of different fields, the invention can quickly construct the domain emotion thesaurus, and realize the fast self-adaptation of the emotion calculation of different industries.

Description

technical field [0001] The invention relates to the technical field of natural language processing big data analysis, in particular to a method, device and storage medium for acquiring industry text emotion. Background technique [0002] With the development of all walks of life in our country, more and more industry information appears on the Internet, and the prosperity of the industry development is reflected in the specific industry information. A piece of industry information contains specific sentiments. By choosing an appropriate sentiment analysis method, you can get the sentiment data of the industry information, further quantify the sentiment of the industry information, and capture the trend of industry sentiment, which can provide assistance for market monitoring and industry index forecasting. [0003] At present, as far as sentiment analysis is concerned, there are mainly two methods, based on unsupervised rule methods and supervised learning methods. The form...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/216G06F40/211G06F40/289
Inventor 刘焕勇李瑞梁吉光
Owner 数地工场(南京)科技有限公司
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