A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce

Sayan Putatunda, Anwesha Bhowmik, Girish Thiruvenkadam, Rahul Ghosh
11/16/2023
cs.CLcs.IRcs.LG

No confident code implementation found for this paper.

Abstract

According to the literature, Product reviews are an important source of information for customers to support their buying decision. Product reviews improve customer trust and loyalty. Reviews help customers in understanding what other customers think about a particular product and helps in driving purchase decisions. Therefore, for an e-commerce platform it is important to understand the sentiments in customer reviews to understand their products and services, and it also allows them to potentially create positive consumer interaction as well as long lasting relationships. Reviews also provide innovative ways to market the products for an ecommerce company. One such approach is Nudge Marketing. Nudge marketing is a subtle way for an ecommerce company to help their customers make better decisions without hesitation.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Sentiment Analysis Of Shopee Product Reviews Using Distilbert

81% match2025

Sentiment Analysis of Movie Reviews Using BERT

78% match2025

Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making

77% match2024

Finding fake reviews in e-commerce platforms by using hybrid algorithms

76% match2024

LLM Based Sentiment Classification From Bangladesh E-Commerce Reviews

76% match2025

Enhanced Sentiment Analysis of Iranian Restaurant Reviews Utilizing Sentiment Intensity Analyzer & Fuzzy Logic

76% match2025

Cite this paper

@article{putatunda2023bert,
  title  = {A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce},
  author = {Sayan Putatunda and Anwesha Bhowmik and Girish Thiruvenkadam and Rahul Ghosh},
  year   = {2023},
  eprint = {2311.10782},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.10782v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2311.10782.svg)](https://codeofpaper.com/paper/2311.10782)

Discussion