Sentiment Analysis of Opinions about Online Education in the Kurdistan Region of Iraq during COVID-19
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Abstract
Sentiment analysis is widely used in various areas and has versatile applications. For example, it is used in market research, customer retention strategies, and product analysis, to name a few. Although some previous work on the topic exists for the Kurdish language, similar to other fields in Kurdish processing, it is not well-studied, and particularly it suffers from data inadequacy. In this paper, we present an overview of the research we conducted to analyze the sentiments of learners/educators toward online education during COVID-19 in the Kurdistan Region of Iraq. We collected the data from Tweets tweeted up to March 2022. After preprocessing, 511 items remained. The dataset is publicly available for non-commercial use under CC0 1.0 Universal license at https://github.com/KurdishBLARK/SentimentAnalysis/tree/main/OnlineEducation-during-COVID-19
Publication details
- DOI
- 10.32388/su5br9
- OpenAlex
- W4386533154
- Document type
- preprint
- Language
- EN
- Source
- Qeios
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