Featured

Industry: Information

Automated Customer Sentiment Analysis Framework for Social Media Data

Multi-Category Opinion Classification Using Supervised Machine Learning with Enhanced Text Processing for Customer Review Analysis

Key Points:

  • Current sentiment analysis tools struggle with contextual understanding and language specificity in social media data
  • A comprehensive preprocessing pipeline including emoji translation and advanced text normalization significantly improves classification accuracy
  • Five different supervised learning algorithms achieve 83-88% accuracy in classifying opinions into five distinct categories
  • The framework can be applied to analyze customer feedback across social media platforms to derive actionable business insights
Read full article
Previous Page 3 of 4 Next