DETEKSI JAWABAN HASIL CHATGPT MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

ALMASLUL, SAIFULLOH and Abdiansah, Abdiansah (2023) DETEKSI JAWABAN HASIL CHATGPT MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

ChatGPT is a web-based chatbot application developed by OpenAI. Since its launch in November 2022, it has received lots of coverage for its ability to generate very human-like responses. However, concerns have been raised about the potential spam and disinformation that can be generated. For this reason, it is necessary to develop a tool that can detect ChatGPT-generated text. This research uses the Convolutional Neural Network method and GloVe pre-trained word embedding to classify human and ChatGPT answer text. Using the reddit_eli5 dataset from the Human ChatGPT Comparison Corpus (HC3), the CNN method was shown to produce an accuracy value of 98.45% and an F1-score of 98.45%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ChatGPT, Klasifikasi Teks, Convolutional Neural Network
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Saifulloh Almaslul
Date Deposited:	20 Nov 2023 03:07
Last Modified:	20 Nov 2023 03:07
URI:	http://repository.unsri.ac.id/id/eprint/130637

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