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Found 2 from your keywords: subject="Algoritma Machine Lea...
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EVALUASI PENDEKATAN ENSEMBLE LEARNING UNTUK ANALISIS SENTIMEN PADA ULASAN APL…
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Sasmita, Ruth

The development of online transportation applications such as Maxim has increased the need for sentiment analysis to understand user opinions from reviews on the Google Play Store. The main challenges in this analysis are language diversity, variations in writing style, and data imbalance, which affect model accuracy. This study aims to evaluate the performance of the Support Vector Machine (SV…

Edition
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ISBN/ISSN
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Collation
xiii, 95 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1895342025
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PERBANDINGAN ALGORITMA RANDOM FOREST, LOGISTIC REGRESSION, DAN XGBOOST DALAM …
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Imran, Athallah Yasyfi

Understanding user sentiment from e-commerce reviews is essential for platform improvement and business strategy. This study compares three machine learning algorithms—Logistic Regression, Random Forest, and XGBoost—for sentiment classification of Indonesian-language Tokopedia reviews. A dataset of 6,822 user reviews was preprocessed through tokenization, stopword removal, and TF-IDF vector…

Edition
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ISBN/ISSN
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Collation
xv, 98 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1895732025