Chehal Dimple, Gupta Parul, Gulati Payal
Department of Computer Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad, India.
Int J Soc Psychiatry. 2021 Feb;67(1):64-72. doi: 10.1177/0020764020940741. Epub 2020 Jul 7.
Novel corona virus (2019-nCoV) has spread in the world since its first human infection in December 2019. India has also witnessed a rising number of infections since March 2020. The Indian government imposed lockdowns in the nation to control the movement of its citizens thereby confining the spread of the virus. Tweeters resorted to usage of social media platform to express their mind.
Through this article, an attempt has been made to understand the mind-set of Indian people using Python and R statistical software, during the recent lockdown 2.0 (15 April 2020 to 3 May 2020) and lockdown 3.0 (4 May 2020 to 17 May 2020) through their tweets on the social media platform Twitter. Also, opinion on e-commerce during this pandemic has been analysed.
Analysis has been performed using Python and R statistical software. Also, recent articles related to COVID-19 have been considered and reviewed.
Although the country had a positive approach in lockdown 2.0 with only few instances of sadness, disgust and others, the majority of the people had a negative approach in lockdown 3.0.
This analysis can help the health specialists to understand people's mind-set, the authorities to take further corresponding measures in washing out the virus and the e-commerce stakeholders to adapt to the changing attitudes by adjusting demand and supply plans accordingly.
新型冠状病毒（2019 - nCoV）自2019年12月首次感染人类以来已在全球传播。自2020年3月以来，印度的感染人数也在不断上升。印度政府在全国实施封锁，以控制公民的流动，从而遏制病毒传播。推特用户借助社交媒体平台表达自己的想法。
通过本文，试图利用Python和R统计软件，通过印度民众在社交媒体平台推特上发布的推文，了解他们在最近的2.0版封锁（2020年4月15日至2020年5月3日）和3.0版封锁（2020年5月4日至2020年5月17日）期间的心态。此外，还分析了疫情期间对电子商务的看法。
使用Python和R统计软件进行分析。同时，参考并回顾了近期与COVID - 19相关的文章。
尽管该国在2.0版封锁期间态度积极，仅有少数悲伤、厌恶等情绪的例子，但在3.0版封锁期间，大多数人的态度是消极的。
该分析有助于健康专家了解民众心态，有助于当局采取进一步相应措施以消除病毒，也有助于电子商务利益相关者通过相应调整供需计划来适应不断变化的态度。
