SENTIMENT ANALYSIS OF PUBLIC RESPONSE TO GREEN TECHNOLOGY AT X USING NAÏVE BAYES METHOD

Yulialda Mashun; I Gusti Ayu Agung Mas Aristamy; Ni Wayan Suardiati Putri; I Made Subrata Sandhiyasa; Ayu Gede Willdahlia

Authors

Yulialda Mashun Institut Bisnis dan Teknologi Indonesia (INSTIKI)
I Gusti Ayu Agung Mas Aristamy Institut Bisnis dan Teknologi Indonesia (INSTIKI)
Ni Wayan Suardiati Putri Institut Bisnis dan Teknologi Indonesia (INSTIKI)
I Made Subrata Sandhiyasa Institut Bisnis dan Teknologi Indonesia (INSTIKI)
Ayu Gede Willdahlia Institut Bisnis dan Teknologi Indonesia (INSTIKI)

Keywords:

sentiment analysis, green technology, society, naïve bayes

Abstract

The development of IKN as a green technology city has sparked significant public discourse, particularly on social media platform X. This research aims to analyze public sentiment towards this initiative using a Naïve Bayes classifier. By examining 866 posts and comments from January 2022 to April 2024, tagged with the keyword "green technology". TextBlob was employed to label the data, while a multinomial Naïve Bayes classifier was used for sentiment classification. The results indicate a predominantly negative sentiment, with 59.20% of the data categorized as negative and 40.80% as positive. A confusion matrix analysis of the test data yielded an accuracy of 76%, precision in class 0 of 78%, while in class 1 of 73%, recall in class 0 of 83%, while in class 1 of 66%, F1-score in class 0 of 81%, while in class 1 of 70%. These findings suggest that while there is public support for green technology, a significant portion of the population remains skeptical or concerned about its implementation.

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