Social media has the power to spread information among users. It is very
beneficial for improving education by giving valuable feedback or sharing
perceptions on some related issues. Blended learning approaches are
massively being used by most organisations, especially in higher education.
However, there are many issues triggered among users when blended
learning is implemented. Many researchers keep accomplishing new studies
since this method has already been applied in many organisations and
institutions. This paper aims to identify tweets regarding blended learning
experiences. This study will use these tweets to define users' perception and
acceptance of the blended learning method by producing a classifier model.
This model will classify the tweets into positive and negative experiences in
the blended learning approach. All the processes involved are implemented
using Rapid Miner software. About 448 relevant reviews have been selected,
and 84.38% of users give positive responses. The Naïve Bayes technique
produced the best classifier model with 91.90% accuracy. The result defines
most of the positive reviews are involving students, which are occurred 107
times, and 20 times for negative reviews. Meanwhile, the word “teacher” is
appeared in 41 positive reviews and 14 negative reviews. This study suggests
that blended learning should be continued because most users give positive
reviews of the blended learning method. However, some acceptance criteria
in blended learning should be considered such as age, gender, and region.