Enhancing Customer Experience through Sentiment Analysis and Natural Language Processing in E-commerce
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.
Authors
- Howida Youssry (ORCID: https://orcid.org/0009-0005-6215-0113)
- Walaa Saber Ismail (ORCID: https://orcid.org/0000-0002-4074-0156)
- Marwa M. Ghareeb
Publication Details
- Journal
- Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications
- Published
- 2024-09-30
- DOI
- https://doi.org/10.58346/jowua.2024.i3.005
- Citations
- 7
- Primary Topic
- Customer churn and segmentation
- Type
- article
- Field-Weighted Citation Impact
- 3.07