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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
Amalia, Fadila Shely
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Offensive Language and Hate Speech Detection using BERT Model Amalia, Fadila Shely; Suyanto, Yohanes
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.99841

Abstract

Hate speech detection is an important issue in sentiment analysis and natural language processing. This study aims to improve the effectiveness of hate speech detection in English text using the BERT model, along with modified preprocessing techniques to enhance the F1-score. The dataset, sourced from Kaggle, contains English text with hate speech content. Evaluation results show a significant improvement in the model's accuracy and overall text classification performance. The BERT model achieved 89.11% accuracy on test data, correctly predicting 85 out of 95 samples. While the model excels at classifying offensive text with around 95% accuracy, it struggles to distinguish between hate and offensive text, with some confusion between neither and offensive categories. The classification report shows F1-scores of 0.43 for the hate class, 0.94 for the offensive class, and 0.84 for the neither class, with a weighted average F1-score of 0.89 and a macro average of 0.73. These results indicate that the BERT model delivers solid performance in detecting hate speech, though there is room for improvement, particularly in distinguishing certain classes.
Pemilihan Hotel Terbaik Berdasarkan Review Pengguna Menggunakan Metode Operational Competitiveness Rating Analysis (OCRA) Amalia, Fadila Shely
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 1 (2024): Volume 2 Number 1 January 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i1.92

Abstract

Choosing the best hotel based on user reviews is an important step for modern travelers who rely on the experience and feedback of others before making a decision. The purpose of this study is to provide recommendations for users in the selection of hotels based on reviews from other users by applying the OCRA method in ranking the best hotel alternatives. The ranking results using the OCRA method based on the results of hotel user reviews on the TripAdvisor application were obtained for rank 1 with a value of 1.7635 obtained under the name Novotel Lampung Hotel, rank 2 with a value of 0.6149 obtained under the name Radisson Lampung Kedaton, and rank 3 with a value of 0.4268 obtained under the name BATIQA Hotel Lampung.
Co-Authors Yohanes Suyanto