Detection of depression in Tweets using Sentiment  Analysis A Machine Learning Approach

Arshia Sultana  and Towheed Sultana

Detection of depression in Tweets using Sentiment Analysis A Machine Learning Approach

Paper ID: EIJTEM_2021_8_3_1-10

Author's Name: Arshia Sultana and Towheed Sultana

Volume: 8

Issue: 3

Year: 2021

Page No: 1-10

Abstract:

Statistical data by world health organization (WHO) reveals that depression is the major cause for many of the social misadventure. Patients with depression do use the modern day social networking to express their emotion. Selective analysis of social networking data will result in determining the degree of depression and plausible psychiatric solutions. In this paper, a machine learning based model has been proposed for sentiment analysis from social networking data. The proposed model uses support vector m/c, a decision tree classifier, and a Bayesian classifier. Performance analysis of the proposed model was evaluated by Python simulation using Count vectorizer and decision tree classifier.

Keywords: Depression, SVM, Decision tree, Naïve classifier, Vectorizer

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Standard APA style format.

Arshia Sultana  and Towheed Sultana (2021). Detection of depression in Tweets using Sentiment  Analysis A Machine Learning Approach. Excel International Journal of Technology, Engineering and Management, 8(3), 1-10. Retrieved from https://exceljournals.org.in/detail.php?id=612

Best for LaTeX documents.

@article{Detection_2021,
  author    = {{Arshia Sultana  and Towheed Sultana}},
  title     = {{Detection of depression in Tweets using Sentiment  Analysis A Machine Learning Approach}},
  journal   = {Excel International Journal of Technology, Engineering and Management},
  volume    = 8,
  number    = 3,
  pages     = {1-10},
  year      = 2021,
  url       = {https://exceljournals.org.in/detail.php?id=612},
}

Supported by EndNote, Mendeley, Zotero.

TY  - JOUR
AU  - Arshia Sultana  and Towheed Sultana
TI  - Detection of depression in Tweets using Sentiment  Analysis A Machine Learning Approach
JO  - Excel International Journal of Technology, Engineering and Management
VL  - 8
IS  - 3
SP  - 1
EP  - 10
PY  - 2021
UR  - https://exceljournals.org.in/detail.php?id=612
ER  -

Specific format for RefWorks manager.

RT Journal Article
A1 Arshia Sultana  and Towheed Sultana
T1 Detection of depression in Tweets using Sentiment  Analysis A Machine Learning Approach
JF Excel International Journal of Technology, Engineering and Management
VO 8
IS 3
SP 1
EP 10
YR 2021
LK https://exceljournals.org.in/detail.php?id=612

Excel International Journal of Technology, Engineering & Management

2.5

8.8

Detection of depression in Tweets using Sentiment Analysis A Machine Learning Approach