Advanced Artificial Intelligence Model for Financial Accounting Transformation Based on Enterprise Unstructured Text Data

Wei, Lin; Yu, Hanyue; Li, Bin

doi:10.4018/joeuc.315023

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Many researchers have applied AI to company FM. Wei Lin has designed a set of distributed unstructured text data security analysis system using AI technology, which reduced the dependence on manual bookkeeping, and reduced the human cost of companies [6]. Tan Zhiqi discussed how to do a good job in risk prediction of company FM with the optimization of BP (Back Propagation) neural network algorithm as the core.…”

Section: Evaluation Statusmentioning

confidence: 99%

Stability Evaluation of Sustainable Development Ability of Financial Management of Environmental Protection Companies Facing Artificial Intelligence

2024

infse

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As the economy continuously develops, environmental problems are becoming increasingly serious. Companies need to improve their competitiveness if they want to continue to develop steadily. In order to compete for customers and expand the scale of sales, companies would carry out various credit sales methods to attract more customers and gain more profits under the fierce marketization, but at the same time, a large amount of waste would be discharged into the ecological environment, resulting in ecological damage and environmental pollution. This has seriously affected the economic benefits. Therefore, it needs to be scientifically and effectively controlled and managed to achieve sustainable development. This paper proposed to apply Artificial Intelligence (AI) to the Financial Management (FM) of environment-friendly companies, analyze the stability of the sustainable development ability of company FM, and put forward countermeasures to realize the sustainable development strategy of environment-friendly company FM by analyzing the problems related to the implementation of the financial strategy of environment-friendly companies. Through the company development environmental protection index test, company sustainable development stability test and management model comprehensive scoring test of different environment-friendly companies, it was found that AI can effectively reduce the financial risk index in the FM of environment-friendly companies. The application of AI has improved the development and environmental protection index of companies. The company FM model based on AI can improve the stability of the sustainable development ability of environmental protection company FM. Applying AI to company FM can improve its comprehensive score, and the comprehensive score of management mode has increased by 7.8%.

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Section: Evaluation Statusmentioning

confidence: 99%

Stability Evaluation of Sustainable Development Ability of Financial Management of Environmental Protection Companies Facing Artificial Intelligence

2024

infse

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“…Through the analysis and modeling of information such as the content identification of real-time photography scenes and the emotional preferences of users, combined with cutting-edge technologies such as image understanding and text generation in deep learning, the emotional state of users and the content of photography scenes can be accurately analyzed (Wei et al, 2022). while the existing sentiment analysis mostly starts with the texts produced by users on the Internet, which uses natural language processing and other technologies for analysis (Yu et al, 2022;Chatterjee, 2019).…”

Section: Introductionmentioning

confidence: 99%

Recognition and Analysis of Scene-Emotion in Photographic Works Based on AI Technology

Yang

2023

International Journal of Information Technologies and Systems Approach

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Emotional effect is highly subjective in people's cognitive process, and a single discrete emotional feeling can hardly support the description of the immersion scene, which also puts forward higher requirements for emotional calculation in photography. Therefore, this article first constructs a photographic scene recognition model, and then establishes a visual emotion analysis model which optimizes the basic structure of vgg19 through CNN, extracts the user's photography situation information from the corresponding image metadata, establishes the mapping relationship between situation and emotion, and obtains the low-dimensional dense vector representation of the situation features through embedding. The authors divided eight emotional categories; accuracy of the model is compared and the feature distribution of scene-emotion in different works is analyzed. The results show that the accuracy of the scene-emotion recognition model of photographic works after multimodal fusion is high, reaching 73.9%, in addition, different shooting scenes can distinguish the emotional characteristics of works.

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Can the digital transformation of pharmaceutical enterprises' finance improve healthcare equity?

Fan,

Zou,

Yang

et al. 2024

Finance Research Letters

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Advanced Artificial Intelligence Model for Financial Accounting Transformation Based on Enterprise Unstructured Text Data

Cited by 4 publications

References 26 publications

Stability Evaluation of Sustainable Development Ability of Financial Management of Environmental Protection Companies Facing Artificial Intelligence

Stability Evaluation of Sustainable Development Ability of Financial Management of Environmental Protection Companies Facing Artificial Intelligence

Recognition and Analysis of Scene-Emotion in Photographic Works Based on AI Technology

Can the digital transformation of pharmaceutical enterprises' finance improve healthcare equity?

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