دوره 20، شماره 4 - ( 12-1402 )
جلد 20 شماره 4 صفحات 88-67 |
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Vahedipoor M, Shamsi M, Rasouli Kenari A. Improving Persian Opinion Mining based on Polarity and Balancing Positive and Negative Keywords (case study: Digikala reviews for mobile). JSDP 2024; 20 (4) : 5
URL: http://jsdp.rcisp.ac.ir/article-1-1202-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-1202-fa.html
واحدی پور مهدیه، شمسی محبوبه، رسولی کناری عبدالرضا. بهبود نظرکاوی فارسی مبتنی بر قطبیت و متوازن‌سازی کلمات مهم مثبت و منفی (مطالعه موردی: نظرات دیجی‌کالا برای موبایل). پردازش علائم و داده‌ها. 1402; 20 (4) :67-88
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چکیده: (297 مشاهده)
بسیاری از شبکه‌های اجتماعی و سایت‌ها به مردم اجازه میدهند تا احساسات و نظرات خود را در مورد محصولات و خدمات مختلف به اشتراک بگذارند. در این مقاله روشی جدید مبتنی بر قطبیت نظرات مثبت و منفی فارسی درباره محصولات تلفن همراه از سایت دیجی‌کالا و دادههای سنتیپرس ارائه شده است. نتیجه اجرا با الگوریتمهای بیز ساده، ماشین بردار پشتیبان، کاهش گرادیان تصادفی، رگرسیون لجستیک، جنگل تصادفی و یادگیری عمیق مانند شبکه عصبی کانولوشن و حافظه کوتاه‌مدت متوالی بر اساس پارامترهایی مانند صحت، بازیابی، معیار فیشر و دقت، موردتوجه قرار گرفته شده است. روش پیشنهادی روی دادههای دیجی‌کالا، با الگوریتمهای بیز ساده بین 10 تا 34 درصد و ماشین بردار پشتیبان بین 5 تا 24 درصد و کاهش گرادیان تصادفی بین 7 تا 38 درصد و رگرسیون لجستیک بین 5 تا 38 درصد و جنگل تصادفی بین 4 تا 22 درصد و روش شبکه عصبی کانولوشن به میزان 4 درصد افزایش دقت را به همراه داشته است. همچنین در دادههای سنتیپرس با الگوریتمهای بیز ساده بین 12 تا 46 درصد و ماشین بردار پشتیبان بین 5 تا 46 درصد و کاهش گرادیان تصادفی بین 5 تا 35 درصد و رگرسیون لجستیک بین 6 تا 46 درصد و جنگل تصادفی بین 4 تا 46 درصد دقت نسبت به قبل از اعمال روش پیشنهادی به‌دست آمده است.
شماره‌ی مقاله: 5
نوع مطالعه: پژوهشي |
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مقالات پردازش متن
دریافت: 1399/10/11 | پذیرش: 1402/9/20 | انتشار: 1403/2/6 | انتشار الکترونیک: 1403/2/6
دریافت: 1399/10/11 | پذیرش: 1402/9/20 | انتشار: 1403/2/6 | انتشار الکترونیک: 1403/2/6
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