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Machine Learning for Depression Detection by CHATHUMINI is a document available to read on EtoBox.

What is Machine Learning for Depression Detection about?

The document presents a machine learning approach for detecting depression in Sinhala-English code-mixed language, highlighting the prevalence of depression in Sri Lanka and the potential of social media as a data source for early detection. It discusses the effectiveness of various machine learning algorithms, with ExtraTreesClassifier achieving the highest accuracy of 79.13%. The research aims to address the gap in depression detection studies focused on code-mixed languages, particularly in the context o

Author

CHATHUMINI

Language

EN