[Retracted] Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers

Algorithm 1

KNN Algorithm for grouping the similar set of users.

(1)	Formulate the table column with user emotional categories and column with the movie names.
(2)	Load the training data.
(3)	Prepare data by scaling, missing value treatment, and dimensionality reduction as required.
(4)	Find the optimal value for K.
(5)	Predict and recommend a class value for new data.
(6)	Calculate distance from .
(7)	where X = new data point, Xi = training data, distance as per your chosen distance metric.
(8)	Sort these distances in an increasing order with the corresponding train data.
(9)	From this sorted list, select the top “K” rows.
(10)	Find the most frequent class from these chosen “K” rows. It will be the predicted class for recommendation.