Abstract:
Sentiment analysis is used to determine
sentiments, emotions and attitude of user. In
educational evaluation, sentiment analysis is
implemented in teaching evaluation in order to
explore the answers obtained from open-ended
questions. Students’ feedback has numerous
advantages in education, however, analyzing
feedback while teaching is both stressful and time
consuming. To address this problem, we propose to
analyze the students’ text feedback automatically
using lexicon based sentiment analysis to predict
teaching performance. A database of English
sentiment words is created as a lexical source to get
the polarity of words. By analyzing the sentiment
information extracting from students’ feedback
related to teaching style of their teachers, we are
able to determine whether the students’ text feedback
are positive or negative opinion. This system shows
the opinion result of teachers that is represented as
either strongly negative, negative, weakly negative,
strongly positive, positive, weakly positive or neutral.
