Download PDFOpen PDF in browser

Assessing AI Chatbots Through Meta-Analysis of Deep Learning Models

EasyChair Preprint no. 12023

9 pagesDate: February 10, 2024


This meta-analysis investigates the effectiveness of deep learning models in AI chatbots through a comprehensive evaluation. By synthesizing findings from various studies, this research aims to provide insights into the performance, strengths, and limitations of deep learning approaches in the development of AI chatbot systems. The analysis explores key factors such as accuracy, efficiency, user satisfaction, and scalability, shedding light on the overall efficacy of deep learning techniques in enhancing chatbot functionality.

Keyphrases: AI chatbots, deep learning, effectiveness, evaluation, meta-analysis, Natural Language Processing, neural networks, Performance, Scalability, user satisfaction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Asad Ali},
  title = {Assessing AI Chatbots Through Meta-Analysis of Deep Learning Models},
  howpublished = {EasyChair Preprint no. 12023},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser