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Zare Chahooki M A, khalifeh zadeh Z. A General Investigation on the Combination of Local and Global Feature Selection Methods for Request Identification on Telegram. JSDP 2022; 19 (2) : 12
URL: http://jsdp.rcisp.ac.ir/article-1-1110-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-1110-fa.html
زارع چاهوکی محمدعلی، خلیفه زاده زهرا. بررسی جامع ترکیب روش‌های محلی و سراسری انتخاب ویژگی برای شناسایی درخواست در تلگرام. پردازش علائم و داده‌ها. 1401; 19 (2) :175-196
گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، دانشگاه یزد
چکیده: (1362 مشاهده)
تلگرام سرویس پیام‌رسان متن‌بازی مبتنی بر رایانش ابری است. تلگرام به دلایلی همچون پشتیبانی از زبانها، امکان ایجاد گروه و کانال با تعداد کاربران متعدد، به پیام‌رسانی محبوب و پرکاربرد تبدیل شد. داده‌های متنی زیادی که در گروه‌های تلگرامی وجود دارد حاوی دانش پنهانی هستند. استخراج این دانش‌ها، نظیر درخواست‌های موجود در پیام‌های کاربران می‌تواند سودمند باشد. لذا با شناسایی درخواست‌ها می‌توان به نیازهای کاربران پاسخ داد و به دسترسی سریع آنها به خواسته‌هایشان کمک کرد که این امر موجب توسعه کسب‌وکار کاربران می‌شود. با توجه به ابعاد بالای فضای ویژگیها در داده‌های متنی، کاهش ویژگیها از طریق انتخاب ویژگی ضرورت مییابد. از روش‌های انتخاب ویژگی، دو روش مبتنی برفیلتر محلی و سراسری انتخاب شد. با بررسی و ترکیب پرکاربردترین آنها به زیرمجموعه بهینهای از ویژگی‌های بااهمیت دست یافتیم. این روش ترکیبی، با کاهش بهینه ویژگیها سبب افزایش دقت در شناسایی درخواست، افزایش کارایی دسته‌بندی متن، کاهش زمان آموزش و محاسبات شد.
شماره‌ی مقاله: 12
نوع مطالعه: كاربردي |
موضوع مقاله:
مقالات پردازش متن
دریافت: 1398/10/22 | پذیرش: 1399/12/12 | انتشار: 1401/7/8 | انتشار الکترونیک: 1401/7/8
دریافت: 1398/10/22 | پذیرش: 1399/12/12 | انتشار: 1401/7/8 | انتشار الکترونیک: 1401/7/8
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