Hacking as a Cyber Crime, Reviewed from the Perspective of Quran Surah An-Nur Verse 27

Warsino Warsino


Sarcasm is a statement that conveys an opposing viewpoint via
positive or exaggeratedly positive phrases. Due to this intentional
ambiguity, sarcasm identification has become one of the important
factors in sentiment analysis that make many researchers in natural
language processing intensively study sarcasm detection. This
research is using multiple channels embedding the attention
bidirectional long-short memory (MCEA-BLSTM) model that
explored sarcasm detection in news headlines and has different
approach from previous research-developed models that lexical,
semantic, and pragmatic properties. This research found that multiple
channels embedding attention mechanism improve the performance of
BLSTM, making it superior to other models. The proposed method
achieves 96.64% accuracy with an f-measure of 97%


Ethics, hacking, cybercrime

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DOI: https://doi.org/10.15408/jti.v15i2.25842 Abstract - 0 PDF - 0


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