Integrating Meta-Analysis for Improved Performance in Machine Learning-Powered Chatbot Systems: an In-Depth Examination

EasyChair Preprint 12370

Abstract

This comprehensive review explores the integration of meta-analysis techniques to enhance the performance of machine learning-based chatbot systems. By systematically analyzing and synthesizing existing research findings, we aim to provide insights into the impact of meta-analysis on improving the efficiency, accuracy, and overall capabilities of chatbot systems. The review also addresses challenges, potential applications, and future directions in leveraging meta-analysis for advancing chatbot technology.

Keyphrases: Artificial Intelligence, Chatbot Systems, Natural Language Processing, Performance enhancement, data synthesis, machine learning, meta-analysis, review, technology integration

@booklet{EasyChair:12370,
  author    = {William Jack},
  title     = {Integrating Meta-Analysis for Improved Performance in Machine Learning-Powered Chatbot Systems: an In-Depth Examination},
  howpublished = {EasyChair Preprint 12370},
  year      = {EasyChair, 2024}}