طراحی سیستم رتبه بندی محصولات خریداری شده براساس نظرات مصرف کنندگان و متخصصین با استفاده از رویکرد تحلیل احساسات مبتنی بر ویژگی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران

2 دانشیار، گروه مدیریت بازرگانی، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران

3 دانشیار، گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران

چکیده

با گسترش سایت‌های فروش اینترنتی تمایل به خرید برخط با توجه به مزایای زیاد آن روزبه‌روز در حال افزایش است. اکثر مشتریان قبل از تصمیم‌گیری و انتخاب محصول، نظرات خریدارن قبلی محصول را بررسی کرده و براساس آن‌ محصول خود را انتخاب می-کنند. وجود برندهای مختلف در بازار و از سویی بررسی حجم بالایی از نظرات جهت تصمیم‌گیری در خصوص خرید محصول چالش بزرگی است که خریداران با آن مواجه هستند، وجود ابزارهای خودکار متن‌کاوی و آنالیز احساسات برای بررسی نظرات کاربران می‌تواند در این زمینه بسیار مفید باشد و به عنوان راه‌کاری در رتبه‌بندی محصولات براساس نظر مشتریان مورد استفاده قرار گیرد. در این پژوهش با بررسی بیش از 4500 مورد از نظرات مشتریان و ارزیابی متخصصان در خصوص 70 کالا، سه نوع ویژگی شامل: ویژگیهای حسی موجود در نظر مشتریان و متخصصین، ویژگی‌های ساخت محصول و ویژگی‌های نظرسنجی استخراج گردیده و با بکارگیری تحلیل احساسات مبتنی بر ویژگی، سیستم رتبه‌بندی محصولات ایجاد گردیده است.

کلیدواژه‌ها

عنوان مقاله [English]

Designing a ranking system for purchased products based on the consumer’s and expert’s opinions using an aspect-based sentiment analysis approach

نویسندگان [English]

  • omid afsharizadeh jafari 1
  • Morteza Maleki MinBashRazgah 2
  • Azim Zarei 2
  • Mohsen Shafiei Nikabadi 3
1 PhD Student, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran
2 Associate Professor, Department of Business Management, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran
3 Associate Professor, Department of Industrial Management, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran
چکیده [English]

With the expansion of online sales sites, the desire to online shopping is increasing day by day due to its many benefits. Most customers, before deciding and choosing a product, check the previous buyers of the product opinions and choose their product based on it. There are different brands in the market and on the other hand reviewing a large volume of comments to make a decision to buy a product is a big challenge, the existence of automated text mining and sentiment analysis tools to review users' comments and opinions can be very useful and can be used as a way to rank products based on customer feedback. In this research, by examining more than 4500 customers and experts reviews about 70 products, the features considered by customers and sales site specialists have been extracted based on text mining methods, and by using aspect-based sentiment analysis, a product ranking system has been created.

کلیدواژه‌ها [English]

  • product ranking
  • aspect-based sentiment analysis
  • text mining
  • Digikala

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پژوهش های نوین در تصمیم گیری
دوره 6، شماره 2
تیر 1400
صفحه 20-47

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