TY - GEN
T1 - A Deep Feature Extraction for Hate Speech Detection using Fine-Tuned Naive Bayes
AU - Ramadhan, Reza Wahyu
AU - Shiddiqi, Ary Mazharuddin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Hate speech on social media platforms like Twitter is a significant problem that can negatively affect individuals and communities, disrupting a healthy online environment. To address this problem, our study introduces a new method for detecting hate speech in Bahasa, combining Deep Feature Extraction (DFE) with a Fine-tuned Naive Bayes (FTNB) approach. This method uses an Artificial Neural Network (ANN) to learn and extract complex patterns and semantic relationships from the text. These extracted features are then processed using a FTNB model to enhance decision-making. Integrating deep learning for feature extraction with the probabilistic approach of Naive Bayes (NB) significantly improves the model's accuracy and precision in identifying hate speech.
AB - Hate speech on social media platforms like Twitter is a significant problem that can negatively affect individuals and communities, disrupting a healthy online environment. To address this problem, our study introduces a new method for detecting hate speech in Bahasa, combining Deep Feature Extraction (DFE) with a Fine-tuned Naive Bayes (FTNB) approach. This method uses an Artificial Neural Network (ANN) to learn and extract complex patterns and semantic relationships from the text. These extracted features are then processed using a FTNB model to enhance decision-making. Integrating deep learning for feature extraction with the probabilistic approach of Naive Bayes (NB) significantly improves the model's accuracy and precision in identifying hate speech.
KW - artificial neural network
KW - deep feature extraction
KW - deep learning
KW - hate speech detection
KW - naive bayes classifier
UR - http://www.scopus.com/inward/record.url?scp=85211573771&partnerID=8YFLogxK
U2 - 10.1109/ICSINTESA62455.2024.10748002
DO - 10.1109/ICSINTESA62455.2024.10748002
M3 - Conference contribution
AN - SCOPUS:85211573771
T3 - ICSINTESA 2024 - 2024 4th International Conference of Science and Information Technology in Smart Administration: The Collaboration of Smart Technology and Good Governance for Sustainable Development Goals
SP - 142
EP - 147
BT - ICSINTESA 2024 - 2024 4th International Conference of Science and Information Technology in Smart Administration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference of Science and Information Technology in Smart Administration, ICSINTESA 2024
Y2 - 12 July 2024
ER -
