International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Deep Learning with LLM: A New Paradigm for Financial Market Prediction and Analysis

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Volume: 6 | Issue: 2 | Pages: 211-215

Subject: Engineering

Country: United States

DOI: https://doi.org/10.54660/IJMRGE.2025.6.2.211-215

License: CC BY 4.0

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Abstract

This study presents the development of an AI text generation detection tool based on the Transformer model, aiming to enhance the accuracy of AI text generation detection and provide a reference for future research. The tool employs a series of preprocessing steps on the text, including Unicode normalization, conversion to lowercase, removal of non-alphabetic characters using regular expressions, and the addition of spaces around punctuation marks. It also eliminates leading and trailing spaces, replaces consecutive ellipses with a single space, and connects text segments with a specified delimiter. Subsequently, non-alphabetic characters and redundant spaces are removed, and multiple consecutive spaces are replaced with a single space, followed by a second conversion to lowercase.

The deep learning model integrates layers of LSTM, Transformer, and CNN for text classification and sequence labeling tasks. The training and validation sets demonstrate that the model's loss decreased from 0.127 to 0.005, while the accuracy increased from 94.96% to 99.8%, indicating strong detection and classification capabilities for AI-generated text. The confusion matrix and accuracy metrics of the test set reveal a prediction accuracy of 99% for AI-generated text, with a precision of 0.99, recall of 1, and an F1 score of 0.99, achieving a highly accurate classification. The results suggest that this model holds great potential for widespread application in the field of AI text detection.

How to Cite This Article

Jiarui Rao, Qian Zhang (2025). Deep Learning with LLM: A New Paradigm for Financial Market Prediction and Analysis . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(2), 211-215. DOI: https://doi.org/10.54660/IJMRGE.2025.6.2.211-215

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Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

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