[HTML][HTML] Convergence of Artificial Intelligence with Social Media: A Bibliometric & Qualitative Analysis

T Saheb, M Sidaoui, B Schmarzo - Telematics and Informatics Reports, 2024 - Elsevier
The integration of artificial intelligence (AI) and social media has provided numerous
benefits to businesses, including improved audience analysis and content optimization …

The Explainability of Transformers: Current Status and Directions

P Fantozzi, M Naldi - Computers, 2024 - mdpi.com
An increasing demand for model explainability has accompanied the widespread adoption
of transformers in various fields of applications. In this paper, we conduct a survey of the …

Customer Sentiment and Demand Prediction Model Based on Cognitive Computing

X Zhong, F Sheng - Disruptive Human Resource Management, 2024 - ebooks.iospress.nl
This study aims to explore customer sentiment and demand prediction models based on
cognitive computing to improve companies' understanding of customer behavior and …

Demystifying Machine Learning by Unraveling Interpretability

A Kotagiri - Practical Applications of Data Processing, Algorithms …, 2024 - igi-global.com
In this chapter, the authors embark on a journey to unveil the complexities of machine
learning by focusing on the crucial aspect of interpretability. As machine learning algorithms …

Summarizing Students' Text-Only Answer Sheet Using SBERT and K-Means Clustering and Evaluating It Using Semantic Search

N Kiran, L Ragha, T Ghorpade - International Conference on Artificial …, 2023 - Springer
Covid-19 pandemic has forced the education system to move online. Online classes and
examinations have become norm of the day. Reading long article on screen is a tedious and …

COMPARATIVE ANALYSIS OF GENERATIVE AI MODELS IN EDUCATIONAL EXERCISE PERFORMANCE

L Meyer, A Dannecker - EDULEARN24 Proceedings, 2024 - library.iated.org
The integration of artificial intelligence (AI) in educational settings presents great
opportunities for enhancing learning experiences. Within the context of a Swiss University of …

[PDF][PDF] Cracking the Code: Self-Explaining AI Models for Transparent Decision Making in Complex Algorithms

AA Salunke - researchgate.net
This research paper explores self-explaining AI models that bridge the gap between
complex black-box algorithms and human interpretability. The study focuses on techniques …