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June 6, 2026International Journal of Data Analysis Techniques and Strategies

Segment-Specific Consumer Risk in Online Reviews A Dual Sentiment and Fuzzy Logic Approach

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APAlp Par

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Implication

Randomized trial investigates consumer risk from online reviews, suggesting a new dual analysis approach.

Key Points

  • The study aims to assess consumer risk associated with online reviews using innovative dual sentiment and fuzzy logic methods.
  • Utilized a dual sentiment analysis approach to evaluate online reviews.
  • Applied fuzzy logic techniques to categorize consumer risk across different segments.
  • Analyzed variations in consumer risk based on specific review segments.
  • Identified distinct risk profiles for different consumer segments based on online reviews.
  • Demonstrated that sentiment and fuzzy logic can effectively predict consumer behavior in online settings.

Cite This Study

Alp Par (2026) studied this question.

synapsesocial.com/papers/6a23bad471a5da9775e76737https://doi.org/10.1504/ijdats.2027.10078998
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Also Consider

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  5. 5Harnessing NLP and sentiment analysis for collaborative innovation: a systematic review2026