Emotions Mining Research Framework: Higher Education in the Pandemic Context

Radka Nacheva ()
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Radka Nacheva: University of Economics – Varna

A chapter in Advances in Econometrics, Operational Research, Data Science and Actuarial Studies, 2022, pp 299-310 from Springer

Abstract: Abstract The pandemic situation in 2020 was a challenge for the organization of the educational process in higher education. The crisis has exacerbated inequalities between universities, which funding, digital sustainability and emergency training are weaker than their national and international competitors. The poor provision of the learning process in an electronic environment has led to a number of problems. Some of them are related to the acquisition of learning material and practical skills, lack of communication between students and academic staff. The increased use of the Internet during periods of social distance has also led to an increase in participating in social media activities, which have become forums for sharing opinions and expressing emotions through text and multimedia content. In this regard, the aim of the article is to propose a research framework for evaluation of emotional attitudes in social media. The author tested the practical applicability of the proposed framework by retrieving data from the social network Twitter and applying data mining techniques for analyzing large volumes of textual content.

Keywords: Emotions mining; Text mining; Social networks; Higher education; Pandemic (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-030-85254-2_18

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DOI: 10.1007/978-3-030-85254-2_18

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