[PDF][PDF] STOCK MARKET CLASSIFICATION MODEL USING SENTIMENT ANALYSIS BASED ON HYBRID NAÏVE BAYES CLASSIFIERS

GAAJ ALKUBAISI - etd.uum.edu.my
Sentiment analysis has become one of the most common method to classify stock market
behaviour. Moreover, sentiment analysis has gained a lot of importance in the last decade …

[PDF][PDF] A GCC stock market classification model using sentiment analysis based on HNBCs

G Alkubaisi, SS Kamaruddin, H Husni, NS Al-Saifi - Int. J, 2020 - academia.edu
Sentiment analysis has become one of the most common method to classify stock market
behaviour. Moreover, sentiment analysis has gained a lot of importance in the last decade …

[PDF][PDF] Stock market classification model using sentiment analysis on twitter based on hybrid naive bayes classifiers.

GAAJ Alkubaisi, SS Kamaruddin… - Comput. Inf. Sci …, 2018 - pdfs.semanticscholar.org
Sentiment analysis has become one of the most popular process to predict stock market
behaviour based on consumer reactions. Concurrently, the availability of data from Twitter …

[PDF][PDF] Conceptual framework for stock market classification model using sentiment analysis on twitter based on Hybrid Naïve Bayes Classifiers

G Alkubaisi, SS Kamaruddin, H Husni - Int. J. Eng. Technol, 2018 - academia.edu
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 …

Sentiment Effect on Mandiri Bank Stock using Feature Expansion Word2vec and Classification Method Gradient Boosted Decision Tree

AE Siwi, EB Setiawan - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
In June 2019, there was an accident to the Mandiri bank system. On the same day of the
accident, Mandiri bank stock price is decreasing. Many customers use social media as a …

[PDF][PDF] Capital markets prediction: Multi-faceted sentiment analysis using supervised machine learning

K Kelebeng, H Hlomani - International Journal of Database …, 2017 - researchgate.net
Over the years the stock market has proved to be very difficult to predict due to its
unpredictable activities. Data mining techniques such as clustering, decision trees, genetic …

Sentiment classification of financial news using statistical features

SF Yazdani, MAA Murad, NM Sharef… - … Journal of Pattern …, 2017 - World Scientific
Sentiment classification of financial news deals with the identification of positive and
negative news so that they can be applied in decision support systems for stock trend …

[PDF][PDF] CLASSIFICATION OF FINANCIAL NEWS USING SENTIMENT ANALYSIS TECHNIQUES

DANCA MINCA - arno.uvt.nl
Sentiment analysis is the statistical analysis of simple sentiment cues. Essentially, it involves
making statistical analyses on polarized statements (ie, statements with a positive, negative …

Comparison of naive bayes and svm classification in grid-search hyperparameter tuned and non-hyperparameter tuned healthcare stock market sentiment analysis

KS Chong, N Shah - International Journal of Advanced …, 2022 - search.proquest.com
This paper compares the performance of Naive Bayes and SVM classifiers classification
based on sentiment analysis of healthcare companies' stock comments in Bursa Malaysia …

Sentiment analysis on Indonesian stock investment application (IPOT) reviews using naive bayes algorithm and genetic algorithm as feature selection method

DA Muthia, DA Putri, R Sari… - AIP Conference …, 2023 - pubs.aip.org
Stock investment application is getting more attention from the public. Nowadays the Internet
has an important role in promulgating information to its users. There are a huge amount of …