Interpretable financial subject matter generation method and device fusing emotion, industrial chain and cause logic

Abstract

The invention relates to an interpretable financial subject matter generation method and device fusing emotion, industrial chain and cause logic. The method comprises the following steps: establishinga cause-and-effect logic library by utilizing a cause-and-effect relationship between events; performing event identification and event linking on the input event based on a cause logic library to obtain a cause and effect event evolution chain; associating the causal event evolution chain with an industry chain knowledge base, and obtaining an entity industry chain conduction chain through association reasoning of upstream and downstream of the entity; performing attribute-level sentiment analysis on entities in the entity industrial chain conduction chain; and performing influence reasoningon the financial subject matter according to the reason logic library, the industrial chain knowledge base and the emotion analysis result, and generating the financial subject matter and an associated reasoning result of the financial subject matter. According to the method and device, reasoning is carried out by fully utilizing the rule of combining reason evolution logic and industrial chain reasoning logic, the dynamics, evolutionary property and conductivity of the reasoning process are fully reflected, and the reasoning result is more credible.

Description

technical field [0001] The invention relates to an interpretable object generation device that integrates emotions, industrial chains, and logic of affairs. Based on the constructed logical reasoning knowledge, it explores a kind of association reasoning for financial objects, which belongs to the field of natural language processing. Explainable knowledge reasoning and object generation method and device in the financial field. Background technique [0002] The financial field is a very important branch of modern economic development. With the continuous expansion of the financial market, the construction of the financial market has made great progress and plays an important role in the development of the entire market system. Nowadays, with the rapid development of networking and informatization, various events such as stock index futures, national policies, and international capital flows will have a very important impact on it. For example, domestic and foreign capital ...

AI Technical Summary

Problems solved by technology

[0004] 1. Poor interpretability. There is no quantitative index in the process of knowledge reasoning, event derivation cannot be explicitly quantified, and the reasoning path cannot be visualized, which makes the interpretability of the whole reasoning process weak

[0005] 2. Reasoning is not fully based on the rules of the combination of event evolution logic and industry chain reasoning logic, and the dynamics, evolution and conductivity are not sufficient

[0006] 3. The inference rules are insufficient, and factors such as emotion, popularity, and theme are not considered, making the inference results more credible

[0007] 4. The application exploration based on domain logic map is relatively insufficient

The logic of event evolution can be combined with the reasoning logic of the industry chain, and can support various applications such as the generation of knowledge reasoning paths and the generation of objects, but the current application of these technologies is relatively insufficient

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