Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data

Barba Giuliana, Lazoi Mariangela, Lezzi Marianna

2024

Abstract

The integration of advanced Artificial Intelligence (AI) based models with web scraping technique opens new opportunities for businesses, streamlining the extraction of valuable insights from the huge amounts of online data. This integration is strategic in overcoming the challenges of extracting dirty data and retrieving missing information, which could otherwise compromise the reliability of business decisions. Despite the growing importance of integrating AI-based models and web scraping techniques in the business context, there exists a significant gap in understanding the specific implications. To address this gap, our study uses a systematic literature review (SLR) and bibliometric analysis to examine the implications of the combined use of advanced AI-based models and web scraping in business contexts. The study highlights four distinct clusters that suggest potential research areas in the areas of “Machine Learning (ML) for sentiment analysis”, “Artificial Intelligence and Natural Language Processing (NLP) integration”, “Data intelligence and optimization”, “NLP and Deep Learning (DL) integration”. The paper offers both theoretical and practical contributions, providing a clear overview of emerging research directions in the field of AI-based models and web scraping integration and guiding managers in adopting advanced AI-based models to enhance the value of web data obtained through scraping.

Paper Citation

in Harvard Style

Giuliana B., Mariangela L. and Marianna L. (2024). Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 321-328. DOI: 10.5220/0012686900003690

in Bibtex Style

@conference{iceis24,
author={Barba Giuliana and Lazoi Mariangela and Lezzi Marianna},
title={Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012686900003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Bibliometric Insights into Web Scraping and Advanced AI-Based Models for Valuable Business Data
SN - 978-989-758-692-7
AU - Giuliana B.
AU - Mariangela L.
AU - Marianna L.
PY - 2024
SP - 321
EP - 328
DO - 10.5220/0012686900003690
PB - SciTePress