Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sentiment Analysis of Stress Among the Students Amidst the Covid Pandemic Using Global Tweets Subject The topic of the resource BERT; Deep learning; LSTM; Machine learning; Sentiment analysis; SVM; Twitter Description An account of the resource Covid-19 pandemic has affected the lives of people across the globe. People belonging to all the sectors of the society have faced a lot of challenges. Strict measures like lockdown and social distancing have been imposed several times by governments throughout the world. Universities had to incorporate the online method of teaching instead of the regular offline classes to implement social distancing. Online classes were beneficial to most of the students; at the same time, there were many difficulties faced by the students due to lack of facilities to attend classes online. Students faced a lot of challenges, and a sense of anxiety was prevalent during the uncertain times of the pandemic. This research article analyzes the stress among students considering the tweets across the globe related to students stress. The algorithms considered for classification of tweets as positive or negative are support vector machine (SVM), bidirectional encoder representation from transformers (BERT), and long short-term memory (LSTM). The accuracy of the abovementioned algorithms is compared. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jyothsna R.; Rohini V.; Paulose J. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-317, pp. 317-324. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-6068-0_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6068-0_31</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145010365&amp;doi=10.1007%2F978-981-19-6068-0_31&amp;partnerID=40&amp;md5=d53e6ff3872ff78ede9deb4a491cff80" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145010365&amp;doi=10.1007%2f978-981-19-6068-0_31&amp;partnerID=40&amp;md5=d53e6ff3872ff78ede9deb4a491cff80</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981196067-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jyothsna R., Christ University, Bangalore, India; Rohini V., Christ University, Bangalore, India; Paulose J., Christ University, Bangalore, India