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.
Nội dung trích xuất từ tài liệu:
Detection of self-reported experiences with corruption on twitter using unsupervised machine learning
Detection of self-reported experiences with corruption on twitter using unsupervised machine learning
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Tìm kiếm theo từ khóa liên quan:
Social sciences and humanities Self-reported experiences Corruption on twitter Unsupervised machine learning Natural language processingTài liệu có liên quan:
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