Exploring Text Classification Algorithms: A Systematic Literature Review

Key Points

• This research aims to evaluate various text classification algorithms and their applications in enhancing knowledge retention and transfer in specific domains.
• Conducted a systematic literature review of text classification algorithms
• Analyzed effectiveness based on various teaching programs and knowledge applications
• Sourced literature from diverse databases to ensure comprehensive coverage.
• Identified key algorithms with high effectiveness ratings in knowledge transfer, particularly in waste management
• Demonstrated significant improvements in knowledge retention metrics when utilizing specific text classification methods
• Provided insights into the applicability of algorithms in educational contexts.