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IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1525))

Abstract

Emerged in Wuhan city of China in December 2019, COVID-19 continues to spread rapidly across the world despite authorities having made available a number of vaccines. While the coronavirus has been around for a significant period of time, people and authorities still feel the need for awareness due to the mutating nature of the virus and therefore varying symptoms and prevention strategies. People and authorities resort to social media platforms the most to share awareness information and voice out their opinions due to their massive outreach in spreading the word in practically no time. People use a number of languages to communicate over social media platforms based on their familiarity, language outreach, and availability on social media platforms. The entire world has been hit by the coronavirus and India is the second worst-hit country in terms of the number of active coronavirus cases. India, being a multilingual country, offers a great opportunity to study the outreach of various languages that have been actively used across social media platforms. In this study, we aim to study the dataset related to COVID-19 collected in the period between February 2020 to July 2020 specifically for regional languages in India. This could be helpful for the Government of India, various state governments, NGOs, researchers, and policymakers in studying different issues related to the pandemic. We found that English has been the mode of communication in over 64% of tweets while as many as twelve regional languages in India account for approximately 4.77% of tweets .

D. Uniyal and A. Agarwal—Equal contribution.

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Author information

Authors and Affiliations

  1. Graphic Era University, Dehradun, India

    Deepak Uniyal

  2. IIT Roorkee, Roorkee, India

    Amit Agarwal

Authors
  1. Deepak Uniyal
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  2. Amit Agarwal
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Editor information

Editors and Affiliations

  1. IKIM, Ruhr-University Bochum, Bochum, Germany

    Michael Kamp

  2. University of Sydney, Sydney, NSW, Australia

    Irena Koprinska

  3. University of Namur, Namur, Belgium

    Adrien Bibal

  4. University of Rennes 1, Rennes, France

    Tassadit Bouadi

  5. University of Namur, Namur, Belgium

    Benoît Frénay

  6. Inria, Rennes, France

    Luis Galárraga

  7. University of Antwerp, Antwerp, Belgium

    José Oramas

  8. Ruhr University Bochum, Bochum, Germany

    Linara Adilova

  9. Royal Holloway University of London, Egham, UK

    Yamuna Krishnamurthy

  10. Ghent University, Ghent, Belgium

    Bo Kang

  11. Université Jean Monnet, Saint-Etienne cedex 2, France

    Christine Largeron

  12. Ghent University, Gent, Belgium

    Jefrey Lijffijt

  13. Telecom Paris, Paris, France

    Tiphaine Viard

  14. University of Bonn, Bonn, Germany

    Pascal Welke

  15. Norwegian Univesity of Science and Technology, Trondheim, Norway

    Massimiliano Ruocco

  16. BI Norwegian Business School, Oslo, Norway

    Erlend Aune

  17. University of Pisa, Pisa, Italy

    Claudio Gallicchio

  18. University of Duisburg-Essen, Essen, Germany

    Gregor Schiele

  19. Graz University of Technology, Graz, Austria

    Franz Pernkopf

  20. Xilinx Research, Dublin, Ireland

    Michaela Blott

  21. Heidelberg University, Heidelberg, Germany

    Holger Fröning

  22. Heidelberg University, Heidelberg, Germany

    Günther Schindler

  23. University of Pisa, Pisa, Italy

    Riccardo Guidotti

  24. University of Pisa, Pisa, Italy

    Anna Monreale

  25. ISTI-CNR, Pisa, Italy

    Salvatore Rinzivillo

  26. Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Biecek

  27. Freie Universität Berlin, Berlin, Germany

    Eirini Ntoutsi

  28. Eindhoven University of Technology, Eindhoven, The Netherlands

    Mykola Pechenizkiy

  29. Leibniz University Hannover, Hannover, Germany

    Bodo Rosenhahn

  30. University of Sussex, Brighton, UK

    Christopher Buckley

  31. University of Chieti-Pescara, Chieti, Italy

    Daniela Cialfi

  32. Radboud University Nijmegen, Nijmegen, The Netherlands

    Pablo Lanillos

  33. McGill University, Montreal, Canada

    Maxwell Ramstead

  34. Ghent University, Ghent, Belgium

    Tim Verbelen

  35. University of Lisbon, Lisboa, Portugal

    Pedro M. Ferreira

  36. University of Bari Aldo Moro, Bari, Italy

    Giuseppina Andresini

  37. Universita di Bari Aldo Moro, Bari, Italy

    Donato Malerba

  38. University of Lisbon, Lisbon, Portugal

    Ibéria Medeiros

  39. Shenzhen University, Shenzhen, China

    Philippe Fournier-Viger

  40. Harbin Institute of Technology, Harbin, China

    M. Saqib Nawaz

  41. University of Córdoba, Córdoba, Spain

    Sebastian Ventura

  42. Peking University, Beijing, China

    Meng Sun

  43. Noah's Ark Lab, Huawei, Beijing, China

    Min Zhou

  44. UniCredit, Milan, Italy

    Valerio Bitetta

  45. UniCredit, Rome, Italy

    Ilaria Bordino

  46. UniCredit, Milan, Italy

    Andrea Ferretti

  47. Unicredit, Rome, Italy

    Francesco Gullo

  48. ENEA Headquarters, Portici, Italy

    Giovanni Ponti

  49. Unicredit, Rome, Italy

    Lorenzo Severini

  50. University of Porto, Porto, Portugal

    Rita Ribeiro

  51. University of Porto, Porto, Portugal

    João Gama

  52. UPC BarcelonaTech, Barcelona, Spain

    Ricard Gavaldà

  53. Northwestern University, Chicago, IL, USA

    Lee Cooper

  54. PD Personalised Healthcare, Basel, Switzerland

    Naghmeh Ghazaleh

  55. University of Lausanne, Lausanne, Switzerland

    Jonas Richiardi

  56. ETH Zurich, Basel, Switzerland

    Damian Roqueiro

  57. F. Hoffmann–La Roche Ltd, Basel, Switzerland

    Diego Saldana Miranda

  58. Novartis Pharma AG, Basel, Switzerland

    Konstantinos Sechidis

  59. University of Lisbon, Lisbon, Portugal

    Guilherme Graça

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Uniyal, D., Agarwal, A. (2021). IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages. In: Kamp, M., et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021. Communications in Computer and Information Science, vol 1525. Springer, Cham. https://doi.org/10.1007/978-3-030-93733-1_22

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  • DOI: https://doi.org/10.1007/978-3-030-93733-1_22

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