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Opinion Mining System for Influence Detection Using Machine Learning to Secure Business Reputation

  • Shahrinaz Ismail,
  • Kyi Lin Khant

摘要

The use of social media becomes a must for almost all businesses, including micro and small enterprises. Despite the benefits of social media marketing, the feedbacks and responses retrieved from audience or customers via posts and comments in social media could be a challenge. Comments received could be negative in nature, which could affect the businesses in a negative way. The negative influence could jeopardize the business reputation, especially if the comments are highly negative and go viral. In sustaining their businesses, the micro and small business owners should not be left behind in using the latest analysis method in securing their business reputation. This paper proposes a simple website that makes use of the back-end sentiment analysis, to detect negative influence on their products and businesses. The results are presented in the form of process flow and interface design of the proposed website, made simple for the target users.