Aspect Based Sentiment Analysis of Students’ Opinion Using Big Data Analytics

ABSTRACT

The significant advancement of the last two decades is the swift growth and extent of information technology in many areas. It is widely used in education, economy, health, agriculture, social life, and entertainment. Today, the internet is one of the vital learning environments that delivers a new and rich style of learning to the students. The web technologies’ penetration to lives both in formal and informal education has twisted a need to study the numerous characteristics of this new way of learning and exploring with different learners’ needs. This paper proposes an Aspect Based Students’ Opinion Analytical System (ASOAS) for analysing students’ opinion in digitalized higher education using big data analytics. It presents a methodology for ASOAS and implementation of ASOAS.  A recommender system for analysing students’ opinion with practical implementation is also presented.

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