Conceptual framework for stock market classification model using sentiment analysis on twitter based on hybrid Naïve Bayes Classifiers
Sentiment analysis has gained a lot of importance in last decade especially on the availability of data from Twitter that has created more interest for research in this field. Nevertheless, stock market classification models still suffer less accuracy and this has affected negatively the stock marke...
Saved in:
Main Authors: | Alkubaisi, Ghaith Abdulsattar A. Jabbar, Kamaruddin, Siti Sakira, Husni, Husniza |
---|---|
Format: | Article |
Published: |
Science Publishing Corporation Inc
2018
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/26018/ https://www.sciencepubco.com/index.php/ijet/article/view/11156 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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) -
Stock market classification model using sentiment analysis based on hybrid naive bayes classifiers
by: A. Jabbar Alkubaisi, Ghaith Abdulsattar
Published: (2019) -
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) -
Human activity classification using Decision Tree and Naive Bayes classifiers
by: Maswadi, Kholoud, et al.
Published: (2021)