  Opinion mining and Sentiment analysis have emerged as a field of study since
the widespread of World Wide Web and internet. Opinion refers to extraction of
those lines or phrase in the raw and huge data which express an opinion.
Sentiment analysis on the other hand identifies the polarity of the opinion
being extracted. In this paper we propose the sentiment analysis in
collaboration with opinion extraction, summarization, and tracking the records
of the students. The paper modifies the existing algorithm in order to obtain
the collaborated opinion about the students. The resultant opinion is
represented as very high, high, moderate, low and very low. The paper is based
on a case study where teachers give their remarks about the students and by
applying the proposed sentiment analysis algorithm the opinion is extracted and
represented.
