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Journal of Statistics and Management Systems Volume 24, 2021 - Issue 1: Prediction Analysis of COVID-19 using Data Science (Part-I)
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Research Article

Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites

Sparsh Sharma1 Department of Computer Science & Engineering, Baba Ghulam Shah Badshah University, Rajouri185234, Jammu and Kashmir, IndiaCorrespondence[email protected]
&
Surbhi Sharma2 Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra182320, Jammu & Kashmir, India
Pages 115-133 | Published online: 09 Dec 2020

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Read on this site (2)

Sonal Khandelwal & Aanyaa Chaudhary. (2022) COVID-19 pandemic & cyber security issues: Sentiment analysis and topic modeling approach. Journal of Discrete Mathematical Sciences and Cryptography 25:4, pages 987-997.
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Gabriela Fernandez, Carol Maione, Karenina Zaballa, Norbert Bonnici, Brian H. Spitzberg, Jarai Carter, Harrison Yang, Jack McKew, Filippo Bonora, Shraddha S. Ghodke, Chanwoo Jin, Rachelle De Ocampo, Wayne Kepner & Ming Hsiang Tsou. (2021) The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics. The International Journal of Intelligence, Security, and Public Affairs 23:3, pages 228-258.
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Articles from other publishers (8)

Afra Zaman, Syeda Sunjida Ferdous, Nazneen Akhter, Tabassum Ibnat Ena, Md. Mahmudun Nabi & Salma Akter Asma. (2023) A Multilevel Depression Detection from Twitter using Fine-Tuned RoBERTa. A Multilevel Depression Detection from Twitter using Fine-Tuned RoBERTa.
Keshav Kaushik, Akashdeep Bhardwaj, Akarsh Aggarwal & Manoj Kumar. (2023) Enumerating happiness index during COVID-19 lockdowns using artificial intelligence techniques. International Journal of Technology Management & Sustainable Development 22:1, pages 35-52.
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Xin Xiao, Chaoyang Fang, Hui Lin, Li Liu, Ya Tian & Qinghua He. (2022) Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, China. Computational Urban Science 2:1.
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Mushrifah Hasan & Sunil Ghane. (2022) Data-driven Depression Detection System for Textual Data on Twitter using Deep Learning. Data-driven Depression Detection System for Textual Data on Twitter using Deep Learning.
Irfan Aygun, Buket Kaya & Mehmet Kaya. (2022) Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning. IEEE Journal of Biomedical and Health Informatics 26:5, pages 2360-2369.
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Carmel Mary Belinda M J, Ravikumar S, Muhammad Arif, Dhilip Kumar V, Antony Kumar K & Arulkumaran G. (2022) Linguistic Analysis of Hindi-English Mixed Tweets for Depression Detection. Journal of Mathematics 2022, pages 1-7.
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James Forrest Bankston & Long Ma. (2022) A Study on People's Mental Health on Twitter During the COVID-19 Pandemic. A Study on People's Mental Health on Twitter During the COVID-19 Pandemic.
G. B. Gour, Vandana S. Savantanavar, Yashoda, Vijaylaxmi Gadyal & Sushma Basavaraddi. 2022. Ubiquitous Intelligent Systems. Ubiquitous Intelligent Systems 55 73 .

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