Effective Machine Learning Garbage Data Filtering Algorithm for SNS Big Data Processing

Social network services (SNS) are used more often today, which results in SNS data being generated. Furthermore, greater emphasis is placed on extracting various sorts of information through the collection, processing, and analysis massive volumes data. Although big processing can extract a lot from data, it takes long time resources. As result, gaining insights necessitates significant investment money. In this section, we propose filtering approach for removing unnecessary stream. To improve accuracy, suggested method employs Random Forest, Decision Tree, XGBoost. Research shows that algorithm filters experimental keywords by than 70%.