AI Powered Sentiment Analysis for customers reviews
This project involved labeling customer reviews collected from online shopping platforms to train an AI model for sentiment analysis. The dataset contained thousands of customer comments and product reviews. Each review was carefully labeled into categories such as Positive, Negative, or Neutral based on the customer’s opinion and emotional tone. The project required strong attention to detail, data processing skills, and consistency in annotation to improve machine learning accuracy. The labeled data was used to help AI systems understand customer behavior, identify satisfaction trends, and support business decision-making in e-commerce platforms.