Egyptian Student Sentiment Analysis Using Word2vec During the Coronavirus (Covid-19) Pandemic

作者: Lamiaa Mostafa

DOI: 10.1007/978-3-030-58669-0_18

关键词:

摘要: Education field is affected by the COVID-19 pandemic which also affects how universities, schools, companies and communities function. One area that has been significantly education at all levels, including both undergraduate graduate. emphasis psychological status of students since they changed their learning environment. E-learning process focuses on electronic means communication online support communities, however social networking sites help manage emotional needs during period allow them to express opinions without controls. The paper will propose a Sentiment Analysis Model analyze sentiments in with using Word2vec technique Machine Learning techniques.The sentiment analysis model start processing student's selects features through word embedding then uses three classifies are Naive Bayes, SVM Decision Tree. Results precision, recall accuracy these classifiers described this paper. helps understand Egyptian opinion pandemic.

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