Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data-Reference-Cited by-同舟云学术

Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data

Published:2020-10-17 Issue: Volume: Page:
ISSN:
Container-title:Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing
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Author:

Venigalla Akhila Sri Manasa¹,Chimalakonda Sridhar¹,Vagavolu Dheeraj¹

Affiliation:

1. Indian Institute of Technology Tirupati, Tirupati, Andhra Pradesh, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3406865.3418567

Reference6 articles.

1. Gopalkrishna Barkur and Giridhar B Kamath Vibha. 2020. Sentiment Analysis of Nationwide Lockdown due to COVID 19 Outbreak: Evidence from India. Asian Journal of Psychiatry (2020). Gopalkrishna Barkur and Giridhar B Kamath Vibha. 2020. Sentiment Analysis of Nationwide Lockdown due to COVID 19 Outbreak: Evidence from India. Asian Journal of Psychiatry (2020).

2. Paul Ekman. 1992. An argument for basic emotions. Cognition & emotion Vol. 6 3--4 (1992) 169--200. Paul Ekman. 1992. An argument for basic emotions. Cognition & emotion Vol. 6 3--4 (1992) 169--200.

3. Zhiyuan Hou Fanxing Du Hao Jiang Xinyu Zhou and Leesa Lin. 2020. Assessment of public attention risk perception emotional and behavioural responses to the COVID-19 outbreak: social media surveillance in China. Risk Perception Emotional and Behavioural Responses to the COVID-19 Outbreak: Social Media Surveillance in China (3/6/2020) (2020). Zhiyuan Hou Fanxing Du Hao Jiang Xinyu Zhou and Leesa Lin. 2020. Assessment of public attention risk perception emotional and behavioural responses to the COVID-19 outbreak: social media surveillance in China. Risk Perception Emotional and Behavioural Responses to the COVID-19 Outbreak: Social Media Surveillance in China (3/6/2020) (2020).

4. May Oo Lwin Jiahui Lu Anita Sheldenkar Peter Johannes Schulz Wonsun Shin Raj Gupta and Yinping Yang. 2020. Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR public health and surveillance Vol. 6 2 (2020) e19447. May Oo Lwin Jiahui Lu Anita Sheldenkar Peter Johannes Schulz Wonsun Shin Raj Gupta and Yinping Yang. 2020. Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR public health and surveillance Vol. 6 2 (2020) e19447.

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