Pengaruh Semantic Expansion pada Naïve Bayes Classifier untuk Analisis Sentimen Tokoh Masyarakat
Sentiment analysis is a field of study that analyzes one's opinions, sentiments, evaluations, attitudes and emotions that are conveyed in written text. There are several factors that cause low accuracy results from sentiment analysis. These factors such as less optimal stemming process, word ne...
Main Authors: | Muhamad Satria Adhi, Muhammad Zidny Nafan, Elisa Usada |
---|---|
Format: | Article |
Language: | Indonesian |
Published: |
Ikatan Ahli Indormatika Indonesia
2019-08-01
|
Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
Subjects: | |
Online Access: | http://iaii.or.id/jurnal/index.php/RESTI/article/view/901 |
Similar Items
-
Improvement of Email And Twitter Classification Accuracy Based On Preprocessing Bayes Naive Classifier Optimization In Integrated Digital Assistant
by: Aldo Erianda, et al.
Published: (2017-05-01) -
Sentiment Analysis of Product Reviews as A Customer Recommendation Using the Naive Bayes Classifier Algorithm
by: Taqwa Hariguna, et al.
Published: (2019-09-01) -
Sentiment Analysis Of Full Day School Policy Comment Using Naïve Bayes Classifier Algorithm
by: Miftahul Kahfi Al Fath, et al.
Published: (2020-10-01) -
Community Opinion Sentiment Analysis on Social Media Using Naive Bayes Algorithm Methods
by: Taqwa Hariguna, et al.
Published: (2019-03-01) -
Analisis Sentimen Pindah Ibu Kota Berbasis Naive Bayes Classifier
by: Primandani Arsi, et al.
Published: (2021-06-01)