Sentiment Analysis of Twitter Users’ Opinion Data Regarding the Use of ChatGPT in Education

Abstract

This article presents a sentiment analysis of Twitter users' opinions regarding the use of ChatGPT in education. ChatGPT, an AI chatbot developed by OpenAI, has gained significant attention for its ability to provide detailed responses across various knowledge domains. However, concerns have been raised about its occasional inclusion of inaccurate information. This study aims to analyze the sentiment of Twitter users' opinions towards ChatGPT in education and evaluate its accuracy. The sentiment analysis process involves data crawling, labelling, preprocessing, sentiment analysis, and evaluation. Data is collected from Twitter using the RapidMiner Studio tool and labelled as positive or negative sentiment based on the presence of positive or negative words. Preprocessing techniques are applied to standardize and reduce the volume of words in the data. The sentiment analysis classification is performed using machine learning algorithms, specifically Naive Bayes and Support Vector Machine (SVM). The accuracy, precision, and recall of the classification models are evaluated. The sentiment analysis results provide insights into Twitter users' overall sentiment towards ChatGPT in education. This study contributes to understanding Twitter users' opinions and sentiments regarding using ChatGPT in education. The findings can be valuable for educators and policymakers in assessing the potential impact of ChatGPT on academic integrity and the educational landscape.

Chatbot Artificial Intelligence as Educational Tools in Science and Engineering Education: A Literature Review and Bibliometric Mapping Analysis with Its Advantages and Disadvantages

“…Currently, there has been a lot of research examining the application of AI chatbots in the educational sector, including the use of chatbots as an interesting and innovative media to support autonomous learning of the Japanese language (Haristiani and Riafa'i, 2020;Haristiani and Rifa'i, 2021), the use of media chatbot-based online learning through teacher training (Dewi and Jonathan, 2022), the application of AI chatbots to improve student learning in higher education (Liu et al, 2022), research on the impact of chatbot use on student learning experiences (Ait Baha et al, 2023), implementation of AI chatbots as English conversation partners (Yang et al, 2022) and many other studies that discuss the use of chatbots in the education sector (Viorennita et al, 2023;Munggaran et al, 2023;Kim, 2022;Essel et al, 2022).…”