ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Anxiety And depression Posts In Reddit Social Media
Authors
Dr. Anita Harsoor , Kavita Siddgonda
Keywords
Natural language processing, Reddit social media, Stress level prediction, Artificial intelligence, Anxiety.
Abstract
Depression is known to be the biggest contributor to global illness, and a significant cause of suicide. In this paper, our study's main purpose is to review posts from Reddit users to identify any factors that may expose the depression attitudes of local online users. NLP is a field in machine learning with the ability of a computer to understand, analyze, manipulate, and potentially generate human language. Here we used sentiment analysis. Instead of constructing all resources from scratch, NLTK does have all that NLP tasks. The proposed framework is developed by using Logistic Regression, Support Vector Machine, Random Forest, Adaptive Boosting and Multilayer Perceptron classifier. Logistic Regression (LR) is a linear classification approach used to estimate the probability occurrence of binary response based on one or more predictors and features. We used the clustering techniques k-mean to Cluster user data, and provide the user with accuracy stress levels. Using clustering of k-means, we developed four
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How To Cite
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IJRTI — journal style
"Anxiety And depression Posts In Reddit Social Media", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.5, Issue 9, page no.1 - 6, September-2020, Available :https://ijrti.org/papers/IJRTI2009001.pdf
APA — 7th edition
Harsoor, A., & Siddgonda, K. (2020). Anxiety And depression Posts In Reddit Social Media. International Journal for Research Trends and Innovation, 5(9), 1 - 6. https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001
MLA — 9th edition
Harsoor, Anita, and Kavita Siddgonda. "Anxiety And depression Posts In Reddit Social Media." International Journal for Research Trends and Innovation, vol. 5, no. 9, 2020, pp. 1 - 6, https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001.
Chicago — 17th, bibliography
Harsoor, Anita, and Kavita Siddgonda. "Anxiety And depression Posts In Reddit Social Media." International Journal for Research Trends and Innovation 5, no. 9 (2020): 1 - 6. https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001.
Harvard — author–date
Harsoor, A. and Siddgonda, K. (2020) 'Anxiety And depression Posts In Reddit Social Media', International Journal for Research Trends and Innovation, 5(9), pp. 1 - 6. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001
IEEE — numbered reference
A. Harsoor and K. Siddgonda, "Anxiety And depression Posts In Reddit Social Media," IJRTI, vol. 5, no. 9, pp. 1 - 6, Sep. 2020.
Vancouver — biomedical
Harsoor A, Siddgonda K. Anxiety And depression Posts In Reddit Social Media. IJRTI. 2020 Sep;5(9):1 - 6.
AMA — 11th edition
Harsoor A, Siddgonda K. Anxiety And depression Posts In Reddit Social Media. IJRTI. 2020;5(9):1 - 6. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2009001,
author = {Anita Harsoor and Kavita Siddgonda},
title = {Anxiety And depression Posts In Reddit Social Media},
journal = {International Journal for Research Trends and Innovation},
volume = {5},
number = {9},
pages = {1 - 6},
year = {2020},
month = {September},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Harsoor, Anita
AU - Siddgonda, Kavita
TI - Anxiety And depression Posts In Reddit Social Media
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 5
IS - 9
PY - 2020
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001
SP - 1
EP - 6
ER -
Issue
Volume 5 Issue 9,
September-2020
Pages : 1 - 6
Other Publication Details
Paper Reg. ID
IJRTI_181343
Published Paper ID
IJRTI2009001
Downloads
205,609
Research Area
Engineering
Country
Kalburagi, karnataka, India
Published
September 2020
Published Paper PDF
https://ijrti.org/papers/IJRTI2009001.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2009001
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
