SENTIMENT ANALYSIS OF MYPERTAMINA APPLICATION USING SUPPORT VECTOR MACHINE AND NAÏVE BAYES ALGORITHMS

Email Worm Detection Using Naïve Bayes and Support Vector Machine

Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...

Sentiment Analysis Technique: A Look into Support Vector Machine and Naive Bayes

Sentiment Analysis and opinion mining aims to analyze sentiments, opinions, emotions etc. towards products, services or current topics. There are various approaches applied to mine the sentiments portrayed. Supervised machine learning is one such approach that is generally applied. The aim of this paper is to investigate the current methods used to perform sentiment analysis by reviewing and co...

Simulation and prediction of scour whole dimensions downstream of siphon overflow using support vector machine and Gene expression programming algorithms

Background and Objectives: The purpose of this study is to simulate and predict the dimensions of the scour cavity downstream of the siphon overflow using the SVM model and compare it with other numerical methods. The use of the SVM algorithm as a meta-heuristic system in simulating complex processes in which the dependent variable is a function of several independent variables has been widely ...

Monthly rainfall Forecasting using genetic programming and support vector machine

Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...