Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown
C Guthrie, S Fosso-Wamba, JB Arnaud - Journal of retailing and consumer …, 2021 - Elsevier
The COVID-19 pandemic has disrupted retail and accelerated the trend towards electronic
commerce. This study explores the reasons for and the implications of this shift. Our study …
commerce. This study explores the reasons for and the implications of this shift. Our study …
Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish
This article presents a comprehensive evaluation of traditional machine learning and deep
learning models in analyzing sentiment trends within the SENT-COVID Twitter corpus …
learning models in analyzing sentiment trends within the SENT-COVID Twitter corpus …
Mental health effects of COVID-19 lockdowns: A Twitter-based analysis
S Colella, F Dufourt, VA Hildebrand, R Vivès - Economics & Human Biology, 2023 - Elsevier
We use a distinctive methodology that leverages a fixed population of Twitter users located
in France to gauge the mental health effects of repeated lockdown orders. To do so, we …
in France to gauge the mental health effects of repeated lockdown orders. To do so, we …
Anbar: Collection and analysis of a large scale Urdu language Twitter corpus
B Tahir, MA Mehmood - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
The confluence of high performance computing algorithms and large scale high-quality data
has led to the availability of cutting edge tools in computational linguistics. However, these …
has led to the availability of cutting edge tools in computational linguistics. However, these …
Mental health effects of COVID-19 lockdowns: a Twitter-based analysis
S Colella, F Dufourt, VA Hildebrand… - Economics and Human …, 2023 - amu.hal.science
We use a distinctive methodology that leverages a fixed population of Twitter users located
in France to gauge the mental health effects of repeated lockdown orders. To do so, we …
in France to gauge the mental health effects of repeated lockdown orders. To do so, we …
[PDF][PDF] Working Papers/Documents de travail
S Colella, F Dufourt, VA Hildebrand, R Vivès - 2022 - amse-aixmarseille.fr
We derive a mental health indicator measuring the frequency of words expressing anger,
anxiety and sadness from a fixed population of Twitter users located in France. During the …
anxiety and sadness from a fixed population of Twitter users located in France. During the …
[HTML][HTML] Influencers and covid_19: Characterizing and defining courses of action
R Boulet, JF Lebraty - Management & Datascience, 2020 - management-datascience.org
Résumé Based upon the 55 days of lockdown that occurred during the Covid_19 disaster,
the aim of this article is to answer to the following research question:“how can we …
the aim of this article is to answer to the following research question:“how can we …