AN ENHANCED SENTIMENT ANALYSIS TECHNIQUE IN TWITTER FOR TERRORISM DETECTION BASED ON NAÏVE BAYES
.
Saved in:
Main Author: | AZIZAN, SOFEA AZRINA |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/21564/1/SOFEA%20AZRINA_G03407.pdf http://utpedia.utp.edu.my/21564/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Twitter sentiment classification using Naive Bayes based on trainer perception
by: Ibrahim, M.N.M., et al.
Published: (2017) -
Twitter sentiment classification using Naive Bayes based on trainer perception
by: Ibrahim M.N.M., et al.
Published: (2023) -
An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm
by: Aryuni, Mediana, et al.
Published: (2020) -
Stock market classification model using sentiment analysis on twitter based on hybrid naive bayes classifiers
by: A.Jabbar Alkubaisi, Ghaith Abdulsattar, et al.
Published: (2018) -
Sentiment analysis technique: A look into support vector machine and naive bayes
by: Kaur, W., et al.
Published: (2016)