Abstract:
The utilization ofmedia platform has grew bigger over the years
obtained from social media alone. People express their sentiments
have discussed how data and information
of information is
using social site twitter. In this study
obtained from twitter in the form of tweets can be helpful in detecting moods of
we
the premise of emotion prediction. We perform
of the collected twitter data and explain discovered phenomena.
people. This study is performed
emotion detection
Multiple algorithms like Naive Bayes, random forest, SVM, linear regression and K used to build an Emotion classifier that will determine the
on
Nearest Neighbour are
emotion class ofthe text and compares the results using confusion matrix
