Jurnal Sistem Cerdas
Vol. 7 No. 1 (2024)

Sentiment Analysis ChatGPT Using the Multinominal Naïve Bayes Classifier (NBC) Algorithm

Sri Rahayu, Dwi (Unknown)
Novita, Rice (Unknown)
Khairil Ahsyar, Tengku (Unknown)
Zarnelly (Unknown)

Article Info

Publish Date
29 Apr 2024

Abstract

Chatbots have become one of the popular solutions for improving customer service. One well-known chatbot is ChatGPT, a language model developed by OpenAI. As time goes by and more and more people use ChatGPT, sentiment analysis is needed about users' opinions about the ChatGPT service. Therefore, it is necessary to carry out sentiment analysis of the ChatGPT service on Twitter to find out how users respond to this chatbot service. In this research, the results showed positive sentiment of 57%, negative sentiment of 29% and neutral sentiment of 14%. Topics for each sentiment were also obtained and sentiment prediction results from 40% of the test data with results of 96% positive, 3.5% negative and 0.5% neutral with a test accuracy of 63%.

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Journal Info
Jurnal Sistem Cerdas
Website

Abbrev

jsc

Publisher

Asosiasi Prakarsa Indonesia Cerdas

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Description

Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan ...