TY - JOUR T1 - Sentiment analysis of online user comments on artificial meat AU - Onur, Merve PY - 2024 DA - October Y2 - 2024 DO - 10.31822/jomat.2024-SP-2-33 JF - Journal of Multidisciplinary Academic Tourism JO - Jomat PB - Yusuf KARAKUŞ WT - DergiPark SN - 2645-9078 SP - 33 EP - 43 IS - Special Issue 2 - Sustainability, Innovation and Changing Dynamics in Tourism: From Local to Global LA - en AB - Artificial meat is a sustainable protein source that has riveted attention recently. However, differences of opinion have led to the need for more research on the issue. The controversy complicates the assessment of whether or not artificial meat will potentially be consumed in the future. This study aimed to determine the emotional states of YouTube users toward artificial meat. For this purpose, YouTube was used as a considerable data source in determining individuals' emotions and opinions. User comments on popular videos about “artificial meat” shared on online were evaluated using sentiment analysis (SA). They were classified as positive, neutral, and negative according to their polarity scores in the lexicon-based SA method. Analysis results demonstrated that 11,113 (40.8%) of the user comments were positive, 9,054 (33.2%) were negative, and 7,064 (25.9%) were neutral. The most frequently repeated words were “meat, eat, and like,” while the most frequent negative words were “fake, cancer, synthetic and expensive” respectively. KW - Artificial Meat KW - User Opinions KW - Sentiment Analysis KW - Natural Language Processing KW - Online Comments CR - Alhujaili, R. F., & Yafooz, W. M. (2021, March). Sentiment analysis for YouTube videos with user comments. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 814–820). IEEE. https://doi.org/10.1109/ICAIS50930.2021.9396049 CR - Amarasekara, I., & Grant, W. J. (2019). 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