Survey On Stress and Depression detection via social media using Machine learning

Kishori Dhumal

Survey On Stress and Depression detection via social media using Machine learning

December 2023

Vol-9, Issue-6

Paper ID: 22258

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Feature Extraction. Depression speech Content Detection.Social Media. Potential User Detection.Supervised Classification.Identity Deception.

Abstract

Twitter speech recognition for depression is essential for applications like as sentiment analysis, content recommendation, AI chatter bot construction, and controversial event extraction. Being able to determine whether a tweet is racist, sexist, or neither is how we characterize this assignment. This is an extremely difficult undertaking due to the natural language constructs' complexity. The suggested system processed text for Depression speech recognition in desired tweets by employing supervised learning. Also, the system uses the polarity dataset to determine the sentiment basis. The suggested system classified data using a deep learning methodology. To deal with this complexity, we conduct in-depth experiments using several deep learning architectures to learn semantic word embedding.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Kishori Dhumal	Jai Hind College of Engineering Kuran, Pune

How to Cite

Use the following formats to cite this article in your research.

APA Style

Dhumal, Kishori (2023). Survey On Stress and Depression detection via social media using Machine learning. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 2044-2047.

MLA Style

Dhumal, Kishori. "Survey On Stress and Depression detection via social media using Machine learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 2044-2047.

IEEE Style

Kishori Dhumal, "Survey On Stress and Depression detection via social media using Machine learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 2044-2047, 2023.

Vancouver Style

Dhumal Kishori. Survey On Stress and Depression detection via social media using Machine learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):2044-2047.

Harvard Style

Dhumal, Kishori (2023) 'Survey On Stress and Depression detection via social media using Machine learning', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 2044-2047.

Chicago Style

Dhumal, Kishori. "Survey On Stress and Depression detection via social media using Machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 2044-2047.

Turabian Style

Dhumal, Kishori. "Survey On Stress and Depression detection via social media using Machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 2044-2047.