تشخيص موضع به زبان فارسی مبتنی بر طبقه بندهای چندگانه
الموضوعات :
مژگان فرهودی
1
,
عباس طلوعی اشلقی
2
1 - عضو هیات علمی
2 - دانشگاه آزاد اسلامی واحد علوم و تحقیقات
الکلمات المفتاحية: تشخیص موضع, طبقه بند چندگانه, يادگيری ماشين, يادگيری عميق, يادگيری انتقالی.,
ملخص المقالة :
تشخيص موضع (که با عناوبن طبقه‌بندي موضع، تحليل موضع يا پيش‌بيني موضع نيز شناخته شده است) يک موضوع تحقيقاتي اخير است که به يک پارادايم نوظهور تبديل شده است. هدف از تشخيص موضع، شناسايي موضع نويسنده نسبت به يک موضوع يا ادعاي خاص بوده که به جزء کليدي کاربردهايي مانند تشخيص اخبار جعلي، اعتبارسنجي ادعا يا جستجوي استدلال تبديل شده است. در اين مقاله از سه رويکرد يادگيري ماشين، يادگيري عميق و يادگيري انتقالي براي تشخيص موضع فارسي استفاده شده و سپس با بکارگيری طبقهبندهای چندگانه، مدلی برای اخذ تصميم نهايي در مورد نتايج خروجي پيشنهاد گرديده است. برای اين منظور از روش اکثريت آرا مبتنی بر صحت طبقهبندهای انفرادی براي ترکيب نتايج آنها استفاده گرديد. نتايج آزمايش‌ها نشان داد که عملکرد مدل پيشنهادي نسبت به عملکرد طبقهبندهای انفرادی پيشرفت مناسبی داشته است.
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