… contains sentiment in the form of emoticons are simply ignored by Naive Bayes algorithm
and hence when we perform preprocessing by considering emoticons, the results are much …

… , which is proposed in this thesis, as the sentiment analysis algorithm. … sentiment analysis
is performed using an existing supervised learning algorithm such as SVM and Naïve Bayes, …

… the level of public sentiment or public opinion relating to … In this study, a sentiment analysis
application for twitter analysis … There are several steps taken to conduct this sentiment analysis…

… Using sentiment analysis, we will build a platform where one can easily identify the opinions
… Bayes algorithm gives us a probability analyzing the data set we have given. Naïve Bayes …

… , the classification with Naïve Bayes is rapid and the accuracy … develops a sentiment analysis
with Naïve Bayes algorithm. And … K-Means algorithm and Naïve Bayes algorithm in order to …

… This study applies the Naïve Bayes algorithm for sentiment classification. This sentiment
model can detect the value of polarity and emotion. The research data was drawn from Twitter …

… Therefore, a sentiment analysis study was carried out through YouTube and Twitter in the …
Naïve Bayes algorithm was chosen in this research because it is able to classify sentiments …

… Analysis of the sentimentof theT Community Opinion on social media Twitter using the Naive
Bayes algorithm on … accuracy in sentiment analysis as well as weighted emoji, using Other …

… In this paper, the sentiment analysis is performed using statistics, natural language …
Bayes (MNB) classification algorithm for classifying movie reviews based on overall sentiment …

… and negative sentiments, several methods can be used in the analysis process. In sentiment
analysis, the method used is a classification method using the Naïve Bayes algorithm. Data …