원문정보
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초록
영어
The rise of Generative AI, such as ChatGPT, has become a key tool for easily accessing information and discovering new topics. This article investigates user acceptance of ChatGPT by analyzing online reviews. Reviews from YouTube are extracted and analyzed using Sentiment Classification and Latent Dirichlet Allocation (LDA) methods. SVM was chosen for sentiment analysis due to its superior accuracy compared to other machine learning methods and Deep learning. The findings of this study offer valuable insights that not only enhance users' understanding and acceptance of the ChatGPT service but also empower them to make informed decisions about its usage.
목차
Abstract
Introduction
Related Work
Data Collection and Pre-processing
Methodology
Sentiment Analysis
Feature Extraction
Lexicon Based Approach
Machine Learning Approach
Deep Learning
Other Approach
Performance Metric
Results
Lexicon Based Approach
Machine Learning Approach
Deep Learning
LDA Results
Topic Modelling
Discussion
Conclusions
Acknowledgments
References
Introduction
Related Work
Data Collection and Pre-processing
Methodology
Sentiment Analysis
Feature Extraction
Lexicon Based Approach
Machine Learning Approach
Deep Learning
Other Approach
Performance Metric
Results
Lexicon Based Approach
Machine Learning Approach
Deep Learning
LDA Results
Topic Modelling
Discussion
Conclusions
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보