Work

Enhancing Customer Experience through Sentiment Analysis and Natural Language Processing in E-commerce

Year: 2024

Type: article

Abstract: The research explores the use of sentimental analysis and natural language processing (NLP) in e-commerce applications to enhance customer experience. It identifies a positive correlation between customer reviews and products, overcoming previous limitations in language training and customer loyalty. The study aims to increase e-commerce business sales by 15.4%, resulting in a 15% increase in business profit and a 1% increase in positive recommendations. The study underscores the potential of these technologies in enhancing consumer satisfaction, brand loyalty, and e-commerce performance.

Source: Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications

DOI: 10.58346/jowua.2024.i3.005

Authors: Dr. Walaa Saber Ismail, Marwa M. Ghareeb, Howida Youssry

Institutions: Liwa University, Canadian International College, Helwan University, Fayoum University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4403229702

FWCI: 1.368

Cites:

Cited by: 9

Related to: 10