Defining Sentiment Analysis
The term sentiment analysis, in the research field and this entry, refers to a process used to determine the sentiments (general feelings, attitudes, or opinions) of the writers expressed through text. The process includes gathering data, preprocessing textual data to extract opinionated data, and then classifying the data into positive, neutral, or negative sentiments (Liu 2012; Thelwall 2016). For example, when a student writes feedback saying, “it’s an interesting lecture,” the program will pick up the opinionated word “interesting” and assign a positive sentiment score to the text. All the steps in the process of sentiment analysis are done automatically using computer programs. Sentiment analysis pays attention to the overall feelings or attitudes present in the text rather than the content of the topic that the text is written about.
Introduction
The idea of learning about people’s opinions or attitudes towards a product, a service, or a public figure...
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Vo, D., Pham, T. (2020). Sentiment Analysis in Education. In: Peters, M., Heraud, R. (eds) Encyclopedia of Educational Innovation. Springer, Singapore. https://doi.org/10.1007/978-981-13-2262-4_138-1
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