Acta Infologica

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DOI :10.26650/acin.1418834   IUP :10.26650/acin.1418834    Full Text (PDF)

Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data

Mustafa Özel, Özlem Çetinkaya Bozkurt

Every day, people from all over the world use Twitter to talk about many different topics using hashtags. Since ChatGPT was launched, researchers have been studying how people perceive it in society. This research aims to find out what Turkish Twitter users think about OpenAI’s latest AI model called Generative Pre-trained Transformer 4 (GPT-4). The quantitative data used in this study consist of hashtags on the topic of GPT-4 and involve 2,978 tweets on this topic that were shared on Twitter between March 14-April 9, 2023. The study uses TextBlob sentiment scores to classify the tweets and support vector machines, logistic regression, XGBoost, and random forest algorithms to classify the sentiment of the dataset. The results from the logistic regression, XGBoost, and support vector methods are in close alignment. All parameter findings indicate dependable machine learning, emphasizing the models’ success in classifying tweet sentiment. 

Keywords: Sentiment analysis, social media, Twitter, natural language processing

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APA

Özel, M., & Çetinkaya Bozkurt, Ö. (2024). Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data. Acta Infologica, 8(1), 23-33. https://doi.org/10.26650/acin.1418834


AMA

Özel M, Çetinkaya Bozkurt Ö. Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data. Acta Infologica. 2024;8(1):23-33. https://doi.org/10.26650/acin.1418834


ABNT

Özel, M.; Çetinkaya Bozkurt, Ö. Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data. Acta Infologica, [Publisher Location], v. 8, n. 1, p. 23-33, 2024.


Chicago: Author-Date Style

Özel, Mustafa, and Özlem Çetinkaya Bozkurt. 2024. “Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data.” Acta Infologica 8, no. 1: 23-33. https://doi.org/10.26650/acin.1418834


Chicago: Humanities Style

Özel, Mustafa, and Özlem Çetinkaya Bozkurt. “Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data.” Acta Infologica 8, no. 1 (Nov. 2024): 23-33. https://doi.org/10.26650/acin.1418834


Harvard: Australian Style

Özel, M & Çetinkaya Bozkurt, Ö 2024, 'Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data', Acta Infologica, vol. 8, no. 1, pp. 23-33, viewed 22 Nov. 2024, https://doi.org/10.26650/acin.1418834


Harvard: Author-Date Style

Özel, M. and Çetinkaya Bozkurt, Ö. (2024) ‘Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data’, Acta Infologica, 8(1), pp. 23-33. https://doi.org/10.26650/acin.1418834 (22 Nov. 2024).


MLA

Özel, Mustafa, and Özlem Çetinkaya Bozkurt. “Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data.” Acta Infologica, vol. 8, no. 1, 2024, pp. 23-33. [Database Container], https://doi.org/10.26650/acin.1418834


Vancouver

Özel M, Çetinkaya Bozkurt Ö. Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data. Acta Infologica [Internet]. 22 Nov. 2024 [cited 22 Nov. 2024];8(1):23-33. Available from: https://doi.org/10.26650/acin.1418834 doi: 10.26650/acin.1418834


ISNAD

Özel, Mustafa - Çetinkaya Bozkurt, Özlem. “Sentiment Analysis on GPT-4 with Comparative Models Using Twitter Data”. Acta Infologica 8/1 (Nov. 2024): 23-33. https://doi.org/10.26650/acin.1418834



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Submitted12.01.2024
Accepted16.04.2024
Published Online03.06.2024

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