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International Conference on Innovative Computing and Communications pp 343–353Cite as

Information Extraction and Sentiment Analysis to Gain Insight into the COVID-19 Crisis

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1387))

Abstract

The recent outbreak of coronavirus disease (COVID-19) has vividly proven to be a global outbreak that has caused millions of lives and left the world in distress. Many research agencies and government agencies are still trying to find the cause and origin. The various measures and policies were taken care of by the government to assure the minimal effect on the spread of the virus. However, a major challenge was to determine the mental status of the patient while he was abandoned by the rest of the world. Further, the basic concern is to relate the trivial features of sudden changes in their daily lives, lockdown rules, and overall economy rate. In this paper, we propose a topic extraction and sentiment framework for Twitter and CORD-19 data to analyze themes across text corpus. The collected tweet dataset is used to gain insights into people’s emotions and how they are responding to measures taken during the pandemic crisis.

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Author information

Authors and Affiliations

  1. AIIT, Amity University, Noida, India

    Sandhya Avasthi & Ritu Chauhan

  2. VIT, Vellore, India

    Debi Prasanna Acharjya

Authors
  1. Sandhya Avasthi
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  2. Ritu Chauhan
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  3. Debi Prasanna Acharjya
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Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Ashish Khanna

  2. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India

    Siddhartha Bhattacharyya

  4. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Ajay Jaiswal

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Avasthi, S., Chauhan, R., Acharjya, D.P. (2022). Information Extraction and Sentiment Analysis to Gain Insight into the COVID-19 Crisis. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1387. Springer, Singapore. https://doi.org/10.1007/978-981-16-2594-7_28

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