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Multimodal depression detection on instagram considering time interval of posts · Study

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ArticleMultimodal depression detection on instagram considering time interval of posts

Chun-Yueh Chiu2020

Article2020

Multimodal depression detection on instagram considering time interval of posts

Chun-Yueh Chiu · Hsien Yuan Lane · Jia-Ling Koh · Arbee L. P. Chen

99 citations·0/0 files stored·Journal of Intelligent Information Systems

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Mental Health via Writing Sentiment Analysis and Opinion Mining Emotion and Mood Recognition

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References

2001The PHQ-9 2017Instagram photos reveal predictive markers of depression 2017Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution 2018Deep Learning for Depression Detection of Twitter Users 2017Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media 2017eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations 2012Depression – The Global Crisis 2018Measuring the Latency of Depression Detection in Social Media

Cited by

2022Deep learning techniques for suicide and depression detection from online social media: A scoping review 2022Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data 2022An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla 2025Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques 2024A Multimodal Approach for Detection and Assessment of Depression Using Text, Audio and Video

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Details

Year2020

Typearticle

Published2020-05-04

VenueJournal of Intelligent Information Systems

ISSN-L0925-9902

Languageen

Citations99

Files0 public / 0

ShelfMental Health via Writing

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doi10.1007/s10844-020-00599-5

openalex_workW3023846141

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