Recent Findings from Imam Abdulrahman Bin Faisal University Highlight Research in Machine Learning (Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on machine learning is the subject of a new report. According to news reporting out of Imam Abdulrahman Bin Faisal University by NewsRx editors, research stated, “Social media has great importance in the community for discussing many events and sharing them with others.” The news reporters obtained a quote from the research from Imam Abdulrahman Bin Faisal University: “The primary goal of this research is to study the quality of the sentiment analysis (SA) of impressions about Saudi cruises, as a first event, by creating datasets from three selected social media platforms (Instagram, Snapchat, and Twitter). The outcome of this study will help in understanding opinions of passengers and viewers about their first Saudi cruise experiences by analyzing their feelings from social media posts. After cleaning, this experiment contains 1200 samples. The data was classified into positive or negative classes using the choice of machine learning algorithms, such as multilayer perceptron (MLP), naive bayes (NB), random forest (RF), support vector machine (SVM), and voting. The results show the highest classification accuracy for the RF algorithm, as it achieved 100% accuracy with over-sampled data from Snapchat using both test options. The algorithms were compared among the three different datasets.”