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A Study on Food Safety Risk Perception: Introducing Large Language Models to Online Public Opinion Analysis

https://doi.org/10.2139/ssrn.6862788
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Early warning and control of food safety risk using an improved AHC-RBF neural network integrating AHP-EW
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Parameter-efficient fine-tuning of large language models using semantic knowledge tuning
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Parameter-efficient fine-tuning of large-scale pre-trained language models
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Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process
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A Survey on Text Classification: From Traditional to Deep Learning
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Limitations of information extraction methods and techniques for heterogeneous unstructured big data
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Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
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Early Detection of Food Safety and Spoilage Incidents Based on Live Microbiome Profiling and PMA-qPCR Monitoring of Indicators
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Applications of Machine Learning in Food Safety and HACCP Monitoring of Animal-Source Foods
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