@inproceedings{tulasi-etal-2021-exploratory,
title = "An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings",
author = "Tulasi, Avinash and
Kitamoto, Asanobu and
Kumaraguru, Ponnurangam and
Buduru, Arun Balaji",
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
Alnajjar, Khalid and
Partanen, Niko and
Rueter, Jack},
booktitle = "Proceedings of the Workshop on Natural Language Processing for Digital Humanities",
month = dec,
year = "2021",
address = "NIT Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.nlp4dh-1.21",
pages = "183--190",
abstract = "Covid 19 has seen the world go into a lock down and unconventional social situations throughout. During this time, the world saw a surge in information sharing around the pandemic and the topics shared in the time were diverse. People{'}s sentiments have changed during this period. Given the wide spread usage of Online Social Networks (OSN) and support groups, the user sentiment is well reflected in online discussions. In this work, we aim to show the topics under discussion, evolution of discussions, change in user sentiment during the pandemic. Alongside which, we also demonstrate the possibility of exploratory analysis to find pressing topics, change in perception towards the topics and ways to use the knowledge extracted from online discussions. For our work we employ Diachronic Word embeddings which capture the change in word usage over time. With the help of analysis from temporal word usages, we show the change in people{'}s option on covid-19 from being a conspiracy, to the post-covid topics that surround vaccination.",
}
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%0 Conference Proceedings
%T An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings
%A Tulasi, Avinash
%A Kitamoto, Asanobu
%A Kumaraguru, Ponnurangam
%A Buduru, Arun Balaji
%Y Hämäläinen, Mika
%Y Alnajjar, Khalid
%Y Partanen, Niko
%Y Rueter, Jack
%S Proceedings of the Workshop on Natural Language Processing for Digital Humanities
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C NIT Silchar, India
%F tulasi-etal-2021-exploratory
%X Covid 19 has seen the world go into a lock down and unconventional social situations throughout. During this time, the world saw a surge in information sharing around the pandemic and the topics shared in the time were diverse. People’s sentiments have changed during this period. Given the wide spread usage of Online Social Networks (OSN) and support groups, the user sentiment is well reflected in online discussions. In this work, we aim to show the topics under discussion, evolution of discussions, change in user sentiment during the pandemic. Alongside which, we also demonstrate the possibility of exploratory analysis to find pressing topics, change in perception towards the topics and ways to use the knowledge extracted from online discussions. For our work we employ Diachronic Word embeddings which capture the change in word usage over time. With the help of analysis from temporal word usages, we show the change in people’s option on covid-19 from being a conspiracy, to the post-covid topics that surround vaccination.
%U https://aclanthology.org/2021.nlp4dh-1.21
%P 183-190
Markdown (Informal)
[An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings](https://aclanthology.org/2021.nlp4dh-1.21) (Tulasi et al., NLP4DH 2021)
ACL