Product Categorization for Social Marketing Applying the RFC Model and Data Science Techniques

Autor:	Pichaya Tandayya, Myint Zaw
Rok vydání:	2020
Předmět:	business.industry Computer science Strategy and Management Sentiment analysis Big data Data science Product (business) Categorization Complete information Analytics The Internet Customer satisfaction Business and International Management business
Zdroj:	International Journal of Business Analytics. 7:43-62
ISSN:	2334-4555 2334-4547
DOI:	10.4018/ijban.2020100104
Popis:	Currently, it is the age of social market due to the growth of internet technologies. The marketers require the complete information of customer perspectives on products and services comparing with others. The RFM (recency, frequency, and monetary) model is a technique to measure a comparison of information, especially in traditional market analytics. Over the past decade, social market big data (SMBD), especially feedback, has been used to understand customer satisfaction. This paper proposes a new approach to classify the products from feedbacks, called the RFC (recency, frequency, and credit) model. The model focuses on the social market information and product categorization applying the natural language processing (NLP), opinion mining (OM), and data mining (DM) techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8787d1dcf3a057bf1ec646e280c239f4 https://doi.org/10.4018/ijban.2020100104 Zobrazit plný text záznamu