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Title: :  Survey On Stress and Depression detection via social media using Machine learning
PaperId: :  22258
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-22258
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kishori DhumalJai Hind College of Engineering Kuran, Pune

Abstract

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

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IJARIIE Kishori Dhumal. "Survey On Stress and Depression detection via social media using Machine learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 2044-2047
MLA Kishori Dhumal. "Survey On Stress and Depression detection via social media using Machine learning." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 2044-2047.
APA Kishori Dhumal. (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.
Chicago Kishori Dhumal. "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.
Oxford 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, 2023, p. 2044-2047. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Survey_On_Stress_and_Depression_detection_via_social_media_using_Machine_learning_ijariie22258.pdf (Accessed : 14 April 2024).
Harvard Kishori Dhumal. (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. 2044-2047IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Survey_On_Stress_and_Depression_detection_via_social_media_using_Machine_learning_ijariie22258.pdf (Accessed : 14 April 2024)
IEEE 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, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Survey_On_Stress_and_Depression_detection_via_social_media_using_Machine_learning_ijariie22258.pdf [Accessed : 14 April 2024].
Turabian Kishori Dhumal. "Survey On Stress and Depression detection via social media using Machine learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 (14 April 2024).
Vancouver Kishori Dhumal. Survey On Stress and Depression detection via social media using Machine learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 14 April 2024]; 9(6) : 2044-2047. Available from: https://ijariie.com/AdminUploadPdf/Survey_On_Stress_and_Depression_detection_via_social_media_using_Machine_learning_ijariie22258.pdf
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