"Predicting Customer Sentiment in E-Commerce: Leveraging Naive Bayes and ..."

Julio et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICIMTECH63123.2024.10780794

access: closed

type: Conference or Workshop Paper

metadata version: 2025-02-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icimtech/JulioASY24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icimtech/JulioASY24
Julio, Valentcia Angelica, Kristien Margi Suryaningrum, Rezki Yunanda:
Predicting Customer Sentiment in E-Commerce: Leveraging Naive Bayes and Support Vector Machine Models Using the Twitter API. ICIMTech 2024: 422-426

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.