首页|Ahmad Dahlan University Researchers Describe New Findings in Support Vector Mach ines (Non-linear Kernel Optimisation of Support Vector Machine Algorithm for Onl ine Marketplace Sentiment Analysis)
Ahmad Dahlan University Researchers Describe New Findings in Support Vector Mach ines (Non-linear Kernel Optimisation of Support Vector Machine Algorithm for Onl ine Marketplace Sentiment Analysis)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on . According t o news reporting out of Ahmad Dahlan University by NewsRx editors, research stat ed, “Twitter is a social media platform that is very important in the digital wo rld.” Our news reporters obtained a quote from the research from Ahmad Dahlan Universi ty: “Fast communication and interaction make Twitter a vital information center in sentiment analysis. The purpose of this research is to classify public opinio n about the presence of marketplaces in Indonesia, both positive and negative se ntiments, using a Non-linear SVM algorithm based on 1276 tweets. This research i nvolves the stages of data pre-processing, labeling, feature extraction using TF -IDF, and data division into three scenarios: 80% training data an d 20% test data, 50% training data and 50% test data scenario, and 20 % training data and 80% te st data scenario. The last process, GridSearchCV, combines cross-validation and non-linear SVM parameters for model evaluation using a confusion matrix. The bes t SVM model resulting from the scenario was 80% training and 20% test data, with hyperparameters Gamma = 100 and C = 0.01, achieving 89% accuracy. When tested on never-before-seen data, the accuracy increased to 90 % , with an f1-score of 91%, precision of 88%, and recal l of 95% on negative sentiments.”
Ahmad Dahlan UniversityAlgorithmsEme rging TechnologiesMachine LearningSupport Vector MachinesVector Machines
NETL
NSTL
