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Detection of self-reported experiences with corruption on twitter using unsupervised machine learning

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In this study, we deployed an unsupervised machine learning methodology using natural language processing to collect and analyze data from the popular social media platform Twitter with the aims of detecting self-reported experiences with corruption, including in the health sector. |

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