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The influence of text classification on Facebook with AISAS method

Author

Listed:
  • Pornpimon Kachamas
  • Achara Chandrachai
  • Sukree Sinthupinyo

Abstract

Social media marketing has never been closely tied like it is now. Online marketing managers thus need to actively analyse and understand this fact beyond sentiments of the visitors of their webs. The objective is to comprehend emotions, feelings towards their threads and participation. This research aims to study the text classification that is used to analyse Dentsu's AISAS patterns of posts in order to understand clients' thinking. The study applies naïve Bayesian as a component in text mining technique together with adoption of Dentsu's AISAS model as a framework. Naïve Bayesian methodology is also used to classify attention, interest, search, action and share for analysis understanding. We hope that this study will help online marketers in responding and adjusting each online campaign with the proper strategy.

Suggested Citation

  • Pornpimon Kachamas & Achara Chandrachai & Sukree Sinthupinyo, 2020. "The influence of text classification on Facebook with AISAS method," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 35(3), pages 401-414.
    • Handle: RePEc:ids:ijbisy:v:35:y:2020:i:3:p:401-414
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