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Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence

Unnati Chawda1 , Shanu K Rakesh2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 9-12, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.912

Online published on Apr 30, 2019

Copyright © Unnati Chawda, Shanu K Rakesh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Unnati Chawda, Shanu K Rakesh, “Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.9-12, 2019.

MLA Style Citation: Unnati Chawda, Shanu K Rakesh "Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence." International Journal of Computer Sciences and Engineering 7.4 (2019): 9-12.

APA Style Citation: Unnati Chawda, Shanu K Rakesh, (2019). Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence. International Journal of Computer Sciences and Engineering, 7(4), 9-12.

BibTex Style Citation:
@article{Chawda_2019,
author = {Unnati Chawda, Shanu K Rakesh},
title = {Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {9-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3985},
doi = {https://doi.org/10.26438/ijcse/v7i4.912}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.912}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3985
TI - Implementation and Analysis of Depression Detection Model using Emotion Artificial Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Unnati Chawda, Shanu K Rakesh
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 9-12
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Depression is considered as one of the main psychological well-being issues in this day and age. Affecting contrarily on physical wellbeing, social consideration and scholarly accomplishment, one`s emotional wellness issue remain a critical general medical issue. This examination accepts to prevent emotional wellness issues from creating and plans to spare people and families from misery and spare huge assets for the wellbeing framework. The initial step to begin with the treatment procedure is to recognize wretchedness. In this model tweets from twitter is examined with the assistance of Natural Language Processing and Python code. Tweepy and TextBlob are utilized for further usage.

Key-Words / Index Term

Natural Language Processing, Depression, Twitter, Python, Tweepy, TextBlob

References

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