Measuring Credibility Level of E-commerce Sellers with Structural Equation Modeling and Naive Bayes on Tweets of Service Quality-Reference-Cited by-同舟云学术

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Measuring Credibility Level of E-commerce Sellers with Structural Equation Modeling and Naive Bayes on Tweets of Service Quality

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
language:
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Author:

aji bawono Marastika wicaksono¹,Purwitasari Diana²,Purnomo Mauridhi Hery³

Affiliation:

1. Sepuluh Nopember Institute of Technology, Telkom University,Departement of Technology Management,Bogor,West Java

2. Sepuluh Nopember Institute of Technology,Departement of Informatics Engineering,Surabaya,East Java

3. Sepuluh Nopember Institute of Technology,Departement of Electrical Engineering, Departement of Computer Engineering,Surabaya,East Java

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322307/10322308/10322485.pdf?arnumber=10322485

Reference35 articles.

1. Sentiment Analysis about E-Commerce from Tweets Using Decision Tree, K-Nearest Neighbor, and Naïve Bayes

2. Advanced issues in partial least squares structural equation modeling;hair;Sage Publications,2017

3. Sentiment Analysis of E-commerce Review using Lexicon Sentiment Method

4. Transforming Business Through Digitalization: A Bibliometric Analysis Using VOS viewer

5. Advanced issues in partial least squares structural equation modeling;hair;Sage Publications,2017

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