Performance Improvement of The Random Forest Method Based on Smote-Tomek Link on Lombok Tourism Analysis Sentiment
Jurnal Bumigora Information Technology (BITe), 2023•journal.universitasbumigora.ac.id
Background: Tourists visiting Lombok Island can access various sources of tourist
information and can share their views and tourist experiences through social media such as
positive and negative experiences. Objective: This research aims to analyze the sentiment of
Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.
Methods: The research was carried out in several stages, namely collecting the Lombok
tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse …
information and can share their views and tourist experiences through social media such as
positive and negative experiences. Objective: This research aims to analyze the sentiment of
Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.
Methods: The research was carried out in several stages, namely collecting the Lombok
tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse …
Abstract
Background: Tourists visiting Lombok Island can access various sources of tourist information and can share their views and tourist experiences through social media such as positive and negative experiences.
Objective: This research aims to analyze the sentiment of Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.
Methods: The research was carried out in several stages, namely collecting the Lombok tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse Document Frequency (TF-IDF) method, data sampling using SMOTE-Tomek Link, text classification using Random Forest, and the final stage was performance testing based on accuracy.
Result: The research results obtained using the Smote-Tomek Link and Random Forest methods in sentiment analysis analysis of tourist reviews about Lombok were 94%.
Conclusion: The use of the Smote-Tomek Link and Random Forest methods in Lombok tourism sentiment analysis produces very good accuracy.
journal.universitasbumigora.ac.id
以上显示的是最相近的搜索结果。 查看全部搜索结果