Customer Sentiment Analysis of Product Reviews

Understanding customer sentiments is crucial for e-commerce platforms to enhance user experiences, improve product quality, and stay competitive. This study analyzes customer sentiments from product reviews across various categories using NLP techniques. Reviews are classified as positive, neutral, or negative through sentiment polarity and subjectivity analysis. Visual tools like heatmaps and word clouds can be used for simplification and better summarization of product reviews. In this approach, a new capability is proposed to the e-commerce platforms, where various product reviews are summarized with such visualizations. This helps the end customer to decide on buying the products much faster, improving the overall customer experience.