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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

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References

  • Hampton, K.N., et al., Social networking sites and our lives. Vol. 1. 2011: Pew Internet & American Life Project Washington, DC.
  • Amershi, S., J. Fogarty, and D. Weld. Regroup: Interactive machine learning for on-demand group creation in social networks. in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2012.
  • Do, H.H., et al., Deep learning for aspect-based sentiment analysis: a comparative review. Expert Systems with Applications, 2019. 118: p. 272-299. doi: 10.1016/j.eswa.2018.10.003
  • Hemalatha, I., G.S. Varma, and A. Govardhan, Sentiment analysis tool using machine learning algorithms. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 2013. 2(2): p. 105-109.
  • Ahmad, T., et al., Beginning with exploring the way for rumor free social networks. Journal of Statistics and Management Systems 2020. 23(2): p. 231-238. doi: 10.1080/09720510.2020.1724623
  • Alhajj, R. and J. Rokne, Encyclopedia of social network analysis and mining. 2014: Springer Publishing Company, Incorporated.
  • Alloghani, M., et al., A Systematic Review on Supervised and Unsupervised Machine Learning. Supervised and Unsupervised Learning for Data Science, 2019: p. 3.
  • Shrestha, A. and A. Mahmood, Review of deep learning algorithms and architectures. IEEE Access, 2019. 7: p. 53040-53065. doi: 10.1109/ACCESS.2019.2912200
  • Solorio-Fernández, S., J.A. Carrasco-Ochoa, and J.F. Martínez-Trinidad, A review of unsupervised feature selection methods. Artificial Intelligence Review, 2020. 53(2): p. 907-948. doi: 10.1007/s10462-019-09682-y
  • Cucinotta, D. and M. Vanelli, WHO declares COVID-19 a pandemic. Acta bio-medica: Atenei Parmensis, 2020. 91(1): p. 157-160.
  • Novel, C.P.E.R.E., The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua liu xing bing xue za zhi= Zhonghua liuxingbingxue zazhi, 2020. 41(2): p. 145.
  • Bhatnagar, V., et al., Descriptive analysis of COVID-19 patients in the context of India. 2020: p. 1-16.
  • Vijander Singh, R.C.P., Sandeep Kumar, Pranav Dass, Pankaj Agarwal, Vaibhav Bhatnagar, Linesh Raja, Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine. Journal of Discrete Mathematical Sciences & Cryptography, 2020.
  • Zavarrone, E., et al., CO. Me. TA--covid-19 media textual analysis. A dashboard for media monitoring. arXiv preprint arXiv:2004.07742, 2020.
  • Barkur, G. and G.B.K. Vibha, Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: Evidence from India. Asian journal of psychiatry, 2020.
  • Jahanbin, K. and V. Rahmanian, Using Twitter and web news mining to predict COVID-19 outbreak. Asian Pacific Journal of Tropical Medicine, 2020. 13.
  • Medford, R.J., et al., An” Infodemic”: Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak. medRxiv, 2020.
  • Ordun, C., S. Purushotham, and E. Raff, Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. arXiv preprint arXiv:2005.03082, 2020.
  • Kursuncu, U., et al., Predictive analysis on Twitter: Techniques and applications, in Emerging research challenges and opportunities in computational social network analysis and mining. 2019, Springer. p. 67-104.
  • Abd-Alrazaq, A., et al., Top concerns of Tweeters during the COVID-19 pandemic: infoveillance study. Journal of Medical Internet Research, 2020. 22(4): p. e19016. doi: 10.2196/19016

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