원문정보
초록
영어
Sentiment analysis can be applied to all texts generated from websites, blogs, messengers, etc. The study fulfills an artificial intelligence sentiment analysis estimating visiting evaluation opinions (reviews) and visitor ratings, and suggests a deep learning model which foretells either an affirmative or a negative inclination for new reviews. This study operates review big data about Jeju tourist attractions which are extracted from Google from October 1st, 2021 to November 30th, 2021. The normalization data used in the propensity prediction modeling of this study were divided into training data and test data at a 7.5:2.5 ratio, and the CNN classification neural network was used for learning. The predictive model of the research indicates an accuracy of approximately 84.72%, which shows that it can upgrade performance in the future as evaluating its error rate and learning precision.
목차
1. INTRODUCTION
2. RELATED WORKS
2.1 Opinion Mining and Sentiment Analysis
2.2 Natural language processing(NLP) and ChatGPT
2.3 Deep Learning & CNN
3. PROPOSED METHOLOGY AND PREDICTION MODEL
3.1 Deep Learning Overview
3.2 Data Normalization and Preprocessing
3.3 Creating a Sentiment Analysis Model
4. RESULT OF EXPERIMENT AND DISCUSSION
5. CONCLUSION
REFERENCES