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An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Research article (Multimedia Tools and Applications, 2022) · cited 165× · AI/ML
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Summary
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM is a scholarly article[1].
Key Facts
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-hybrid-deep-learning-approach-for-depression-prediction-from-user-tweets-using-feature-rich-cnn-and-bi-directional-ls
MLA“An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-hybrid-deep-learning-approach-for-depression-prediction-from-user-tweets-using-feature-rich-cnn-and-bi-directional-ls.
BibTeX@misc{4ortxyz_an-hybrid-deep-learning-approach-for-depression-prediction-from-user-tweets-using-feature-rich-cnn-and-bi-directional-ls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/an-hybrid-deep-learning-approach-for-depression-prediction-from-user-tweets-using-feature-rich-cnn-and-bi-directional-ls}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM — https://4ort.xyz/entity/an-hybrid-deep-learning-approach-for-depression-prediction-from-user-tweets-using-feature-rich-cnn-and-bi-directional-ls (retrieved 2026-05-24)
