دوره 22، شماره 2 - ( 6-1404 )
جلد 22 شماره 2 صفحات 126-109 |
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Anbaee Farimani S, Ghouchannezhad noor nia R, VAFAEI JAHAN M. Review on Large Language Models in Finance: Text and Time Series Analysis for Investor Behavior and Market Prediction. JSDP 2025; 22 (2) : 7
URL: http://jsdp.rcisp.ac.ir/article-1-1252-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-1252-fa.html
انبائی فریمانی سعیده، قوچان نژادنورنیا راهله، وفایی جهان مجید. مروری بر کاربرد مدل‌های بزرگ زبانی در پردازش متن و سری‌های زمانی در تحلیل رفتار سرمایه‌گذاران و پیش‌بینی بازارهای مالی. پردازش علائم و داده‌ها. 1404; 22 (2) :109-126
دانشیار گروه مهندسی کامپیوتر، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
چکیده: (223 مشاهده)
استفاده گسترده از شبکه‌های اجتماعی و انتشار اخبار در رسانه‌ها، حجم عظیمی از داده‌های متنی و سری‌های زمانی را تولید کرده‌است که بر رفتار سرمایه‌گذاران در بازارهای مالی تأثیر مستقیم می‌گذارد؛ در این میان، مدل‌های بزرگ زبانی و فناوری‌های پیشرفته پردازش سری‌های زمانی و زبان طبیعی نقشی کلیدی در جمع‌آوری، تحلیل و استخراج الگوهای پنهان از این داده‌ها ایفا می‌کنند. این مقاله مروری، به بررسی بیش از دویست مرجع منتشرشده از سال ۲۰۰۶ تا ۲۰۲۴ می‌پردازد که به برهم‌کنش بازارهای مالی و وقایع خبری منتشرشده در وب با رویکرد متن‌کاوی متمرکزند. در این مطالعه، انواع منابع اطلاعاتی، روش‌های بازنمایی متن، تحلیل احساسات و مدل‌های پیش‌گو مورد بررسی قرار گرفته‌اند؛ همچنین، کاربرد مدل‌های بزرگ زبانی در پردازش سری‌های زمانی و تحلیل داده‌های بلادرنگ، به‌عنوان یکی از نوآوری‌های اخیر در این حوزه مورد توجه قرار گرفته است. هدف از این پژوهش، شناسایی مرز دانش در حوزه تحلیل کلان‌داده‌ها و ارائه مسیرهای آینده پژوهشی در زمینه روش‌های متن‌کاوی، هوش مصنوعی و یادگیری عمیق برای توسعه سامانه‌های پیش‌بینی، توصیه‌گر و تحلیل هم‌بستگی در بازارهای مالی نظیر بورس و فارکس است.
شماره‌ی مقاله: 7
واژه‌های کلیدی: مدل‌های بزرگ زبانی، متن‌کاوی، تحلیل احساس، پیش‌بینی بازارهای مالی، اخبار، شبکه‌های اجتماعی
نوع مطالعه: ترویجی |
موضوع مقاله:
مقالات پردازش متن
دریافت: 1400/4/27 | پذیرش: 1404/4/30 | انتشار: 1404/6/22 | انتشار الکترونیک: 1404/6/22
دریافت: 1400/4/27 | پذیرش: 1404/4/30 | انتشار: 1404/6/22 | انتشار الکترونیک: 1404/6/22
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