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- W4285310147 abstract "Reddit is a platform with a heavy focus on its community forums and hence is comparatively unique from other social media platforms. It is divided into sub-Reddits, resulting in distinct topic-specific communities. The convenience of expressing thoughts, a flexibility of describing emotions, inter-operability of using jargon, the security of user identity makes Reddit forums replete with mental health-relevant data. Timely diagnosis and detection of early symptoms are one of the main challenges of several mental health conditions for which they have been affecting millions of people across the globe. In this paper, we use a dataset collected from Reddit, containing posts from different sub-Reddits, to extract and interpret meaningful insights using natural language processing techniques followed by supervised machine learning algorithms to build a predictive model to analyze different states of mental health. The paper aims to discover how a user’s psychology is evident from the language used, which can be instrumental in identifying early symptoms in vulnerable groups. This work presents a comparative analysis of two popular feature engineering techniques along with commonly used classification algorithms." @default.
- W4285310147 created "2022-07-14" @default.
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- W4285310147 date "2022-01-01" @default.
- W4285310147 modified "2023-09-25" @default.
- W4285310147 title "A Machine Learning Approach to Analyze Mental Health from Reddit Posts" @default.
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- W4285310147 doi "https://doi.org/10.1007/978-981-16-8739-6_33" @default.
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