The Application of Artificial Intelligence in the Analysis of Online Customer Reviews
محل انتشار: شانزدهمین کنفرانس بین المللی مدیریت
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 805
فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IAMS16_022
تاریخ نمایه سازی: 6 اسفند 1398
چکیده مقاله:
Nowadays, marketing is perceived not in its old sense -sales- but in its new sense: meeting customer needs. The development in electronic commerce (e-commerce) has also created a great volume of online customer reviews (OCRs), where the customers can discuss all the aspects of a product in their comments. Data mining techniques in machine learning have been used in many areas here. These techniques can be of great help to businesses in discovering the knowledge hidden among the large data in their databases. Indeed, various machine learning algorithm classes have been used in accomplishing the tasks related to natural language processing (NLP). Thus, these algorithms can be used to identify useful patterns in OCRs to get a better understanding of the customers. Hence, the study tried to design a model that could analyze OCRs using data mining and natural language processing techniques and divide them into marketing mix (product, price, place, and promotion) and then analyze them.
کلیدواژه ها:
نویسندگان
Alireza Rajabipoor Meybodi
Assistant Professor, Department of Business Administration, Faculty of Economics, Management and Accounting, Yazd University
Hossein Arjmandi
Master’s student in Business Management, Department of Business Administration, Faculty of Economics, Management and Accounting, Yazd University
Amir Reza Konjkav Monfared
Assistant Professor, Department of Business Administration, Faculty of Economics, Management and Accounting, Yazd University
Ali Morovati Sharifabadi
Associate Professor, Department of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University