The amount of e-marketing-related data that is publicly accessible on the Internet is continually growing. Market intelligence collectors in the fields of marketing, customer relationship management, and customer retention are interested in these data because it primarily relates to consumers’ thoughts and perceptions of the products or services offered by firms. Marketing efforts, product evaluations, and consumer attitude are all examined using sentiment analysis. It assists online retailers in getting a deeper understanding of their clientele’s opinions and feelings on a given good or service. Marketing campaigns, customer service difficulties, and future product and service decisions can all be made using this information. Artificial intelligence methods can be used for efficient analysis of customer feedback and opinions on e-commerce platforms. Also, the platform makes real-time analytics possible, enabling companies to quickly track and react to changes in customer sentiment. Through the identification of patterns and trends present in the reviews, e-commerce platforms can adjust their marketing efforts, improve their product offers, and proactively solve concerns in order to better meet the changing expectations of their customers.

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Empowering E-commerce Decisions: Machine Learning Insights from Customer Review Sentiments

  • Karthik Kovuri,
  • K. Reddy Madhavi,
  • K. Meenu Yadav,
  • E. Vivek,
  • K. Sohith Kumar Raju,
  • K. Sree Preethi,
  • Mohammad Gouse Galety

摘要

The amount of e-marketing-related data that is publicly accessible on the Internet is continually growing. Market intelligence collectors in the fields of marketing, customer relationship management, and customer retention are interested in these data because it primarily relates to consumers’ thoughts and perceptions of the products or services offered by firms. Marketing efforts, product evaluations, and consumer attitude are all examined using sentiment analysis. It assists online retailers in getting a deeper understanding of their clientele’s opinions and feelings on a given good or service. Marketing campaigns, customer service difficulties, and future product and service decisions can all be made using this information. Artificial intelligence methods can be used for efficient analysis of customer feedback and opinions on e-commerce platforms. Also, the platform makes real-time analytics possible, enabling companies to quickly track and react to changes in customer sentiment. Through the identification of patterns and trends present in the reviews, e-commerce platforms can adjust their marketing efforts, improve their product offers, and proactively solve concerns in order to better meet the changing expectations of their customers.