AI-Powered Sentiment Analysis in E-Commerce

Authors: Simran Sethi

DOI: https://doi.org/10.5281/zenodo.15029793

Short DOI: https://doi.org/g88gp4

Country: USA

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Abstract: With the growth of the e-commerce sphere, analysing clients’ customer reviews and social media impressions have been termed as one of the most important tools of business – sentiment analysis – the process of extracting and understanding the inner meaning of emotions expressed in text. This piece discusses different techniques of AI based sentiment analysis in e-commerce lexicon based, Machine learning, deep and transformer neural networks. A review of major applications is provided such as real-time sentiment analysis, categorization, recommendation systems, and enhancement of product design. The authors also summarize practical experiences while developing a tweet-sentiment scoring tool for Snapdeal, analysing what issues still need to be tackled and what directions are possible for further development.

Keywords:

Paper Id: 232243

Published On: 2022-05-11

Published In: Volume 10, Issue 3, May-June 2022

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