News long text sentiment analysis method and device

A sentiment analysis, long text technology, applied in text database clustering/classification, text database indexing, unstructured text data retrieval, etc., can solve the problem of inability to effectively control and analyze the overall emotional expression of news

Pending Publication Date: 2021-05-28
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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AI Technical Summary

Problems solved by technology

[0003] This application provides a method and device for emotional analysis of news long texts, to at least solve the problem that the overall emotional expression of the news cannot be effectively controlled and analyzed when multiple emotional objects are involved in the news

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  • News long text sentiment analysis method and device
  • News long text sentiment analysis method and device
  • News long text sentiment analysis method and device

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Embodiment Construction

[0053] 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 some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. The specific embodiments of the present application can be applied to the financial field, and can also be applied to other technical fields except the financial field, and the present application is not limited thereto.

[0054] In order to solve the problem that it is impossible to effectively control and analyze the overall emotional expression of the news when multiple emotional objects are involved in the news, this application provides a long-text emotional...

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Abstract

The invention provides a news long text sentiment analysis method and device which can be applied to the field of artificial intelligence, and the method comprises the steps: generating a dependency tree of statements for single sentences in a long text; performing word vector initialization on single sentences in the long text; updating the word vector based on the dependency tree structure information, and performing sentiment analysis on different sentiment objects in the single sentence to obtain a sentiment analysis list of the different sentiment objects; according to the sentiment analysis list, obtaining sentiment scores of all sentiment objects in the long text, and obtaining a sentiment analysis result. According to the method, sentiment analysis of a single sentence is carried out by improving word vector representation through a GCN coding dependency tree, for different sentiments of the same sentiment object in different sentiments in a long text, the importance scoring result of the sentiment is adopted as the sentiment index weight of the sentiment object, and the sentiment index of the long text for the specific sentiment object is obtained through weighted summation; thus, the problems that many emotion entities are involved in news and texts are long are solved.

Description

technical field [0001] The present application belongs to the technical field of natural language processing, and in particular, relates to a method and device for sentiment analysis of long news texts. Background technique [0002] With the accumulation of a large amount of text and the improvement of the use of natural language processing related models, sentiment analysis technology has played an increasingly important supporting role in public opinion analysis, public opinion surveys and other work. In the banking industry, the sentiment index analysis of corporate customer news plays an important role in bank risk control, but there are two problems in the sentiment analysis of corporate customer news: on the one hand, multiple emotional objects are often involved in a piece of news , for each emotional object, the news expresses different emotional tendencies, for example, in the news about a legal person customer A, other customers may be introduced: B, C, D, and in t...

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Application Information

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IPC IPC(8): G06F16/31G06F16/35G06F16/36
CPCG06F16/36G06F16/35G06F16/322
Inventor 孔繁爽李策江林格
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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