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README.md
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accuracy: 0.8831168831168831
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## Trained on
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Twitter_Non-Ads from the paper "Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study" - 2022 International Joint Conference on Neural Networks (IJCNN)
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All credit relating to the dataset goes to authors Aryan Rastogi; Qian Liu; Erik Cambria
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accuracy: 0.8831168831168831
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## Fine-tuned from
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cardiffnlp/twitter-roberta-base-sentiment-latest
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## Trained on
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Twitter_Non-Ads from the paper "Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study" - 2022 International Joint Conference on Neural Networks (IJCNN)
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All credit relating to the dataset goes to authors Aryan Rastogi; Qian Liu; Erik Cambria
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Access to dataset: https://github.com/aryan-r22/Stress-Detection_Social-Media-Articles/tree/main
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