SENTIMENT ANALYSIS BASED ON PROBABILISTIC CLASSIFIER TECHNIQUES IN VARIOUS INDONESIAN REVIEW DATA

SENTIMENT ANALYSIS BASED ON PROBABILISTIC CLASSIFIER TECHNIQUES IN VARIOUS INDONESIAN REVIEW DATA

Show other versions (1)

Sentiment analysis is the field in data science to achieve a broader holistic view of users' needs and expectations. Indonesian user opinions have the potential to manage to be valuable information using sentiment analysis tasks. One of the most supervised learning techniques used in Indone...

Full description

Bibliographic Details
Main Authors: Nur Hayatin, Suraya Alias, Lai Po Hung, Mohd Shamrie Sainin
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2022-09-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
naïve bayes model
probabilistic classifier
sentiment analysis
supervised learning
Online Access:http://www.ejmanager.com/fulltextpdf.php?mno=100176

Similar Items

Similar Items