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About A Comprehensive Study On Social Media Mental Disorder Detection
This document presents a seminar report on detecting social network mental disorders via online social media mining. It proposes a machine learning framework called Social Network Mental Disorder Detection (SNMDD) that extracts features from social network data to identify potential cases of SNMDs. A new SNMD-based Tensor Model (STM) is also proposed to improve accuracy. Experimental results on 3,126 social network users show that SNMDD is promising for identifying online users with potential mental disorders.
Detailed Information
| Author: | ['Archa Raju'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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