  The extensive expansion growth of social networking sites allows the people
to share their views and experiences freely with their peers on internet. Due
to this, huge amount of data is generated on everyday basis which can be used
for the opinion mining to extract the views of people in a particular field.
Opinion mining finds its applications in many areas such as Tourism, Politics,
education and entertainment, etc. It has not been extensively implemented in
area of education system. This paper discusses the malpractices in the present
examination system. In the present scenario, Opinion mining is vastly used for
decision making. The authors of this paper have designed a framework by
applying Na\"ive Bayes approach to the education dataset. The various phases of
Na\"ive Bayes approach include three steps: conversion of data into frequency
table, making classes of dataset and apply the Na\"ive Bayes algorithm equation
to calculate the probabilities of classes. Finally the highest probability
class is the outcome of this prediction. These predictions are used to make
improvements in the education system and help to provide better education.

Information Retrieval;Computation and Language