Abstract
Students are the major part of the colleges/universities and a beneficial of the institutions. Students reviews and opinions are important to improve the institutional problem, matters, and issues. The success of any college/university is to increase the students’ satisfaction level and it’s good for increasing the ranking of the institution. Its paper target the students’ sentiments post on Facebook colleges/university groups to express their behaviors, opinions, and views related curriculum and extra curriculum activities. Developing an automated system, use the students’ post of the Facebook group to implement the Novel approach. This paper uses the dataset that is based on the issues of the National College of Business Administration & Economics. This research work provides the automated system to detect the students’ post of related issues is positive, negative and neutral. Developing tool provides the best outcomes to improve the related issues, matters and institution’s policies.
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Iram, A. (2019). Sentiment Analysis of Student’s Facebook Posts. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_8
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DOI: https://doi.org/10.1007/978-981-13-6052-7_8
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