Application Analysis and Research of Text Model Based on Improved CNN-LSTM in the Financial Field
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| Pubblicato in: | International Journal of Advanced Computer Science and Applications vol. 16, no. 6 (2025) |
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| Autore principale: | |
| Pubblicazione: |
Science and Information (SAI) Organization Limited
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| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text - PDF |
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| 001 | 3231644674 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2158-107X | ||
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| 024 | 7 | |a 10.14569/IJACSA.2025.0160675 |2 doi | |
| 035 | |a 3231644674 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a PDF | |
| 245 | 1 | |a Application Analysis and Research of Text Model Based on Improved CNN-LSTM in the Financial Field | |
| 260 | |b Science and Information (SAI) Organization Limited |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a With the continuous development of information technology, public opinion analysis based on open-source texts and financial situation awareness has become a research hotspot. This study focuses on financial news and commentary information. First, a topic crawler classification model combining the advantages of CNN and LSTM is proposed to improve the topic recognition ability of financial news texts, and a CNN-LSTM-AM stock price fluctuation prediction model is proposed. This model performs sentiment analysis through BiLSTM, integrates multiple emotional factors and market historical data, and demonstrates superior predictive performance compared to traditional models in multiple experiments. | |
| 653 | |a News | ||
| 653 | |a Situational awareness | ||
| 653 | |a Sentiment analysis | ||
| 653 | |a Prediction models | ||
| 653 | |a Texts | ||
| 653 | |a Public opinion | ||
| 653 | |a Text categorization | ||
| 653 | |a Computer science | ||
| 653 | |a Investments | ||
| 653 | |a Trends | ||
| 653 | |a Securities markets | ||
| 653 | |a Text analysis | ||
| 653 | |a Neural networks | ||
| 653 | |a Social networks | ||
| 653 | |a Classification | ||
| 653 | |a Information processing | ||
| 653 | |a Natural language processing | ||
| 653 | |a Emotions | ||
| 653 | |a Semantics | ||
| 653 | |a Investor behavior | ||
| 773 | 0 | |t International Journal of Advanced Computer Science and Applications |g vol. 16, no. 6 (2025) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3231644674/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3231644674/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |