Aspect-Based Sentiment Analysis for E-commerce Insights
Abstract
This paper details the creation of a system for a deep analysis of e-commerce reviews, offering a more advanced alternative to traditional sentiment analysis. Conventional tools typically assign a blanket "positive" or "negative" label to an entire review, a method that overlooks the specific nuances within customer feedback. . Our work implements Aspect-Based Sentiment Analysis (ABSA), a technique that pinpoints distinct product attributes—such as "camera," "battery life," or "screen quality"—and then allocates an independent sentiment to each feature. By utilizing Natural Language Processing (NLP) and modern machine learning models like Transformers, the system produces a highly detailed map of consumer opinion
Fields of Study & Subjects
Sentiment Analysis and Opinion Mining
Topic Modeling
Digital Marketing and Social Media
Publication details
- Journal / source
- International Journal for Research in Applied Science and Engineering Technology
- Volume
- 14
- Issue
- 3
- Pages
- 70–75
- Publication date
- 5 March 2026
- Language
- EN