Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Applied Sciences  /  Vol: 14 Par: 8 (2024)  /  Artículo
ARTÍCULO
TITULO

A Bibliometric Analysis of Text Mining: Exploring the Use of Natural Language Processing in Social Media Research

Andra Sandu    
Liviu-Adrian Cotfas    
Aurelia Stanescu and Camelia Delcea    

Resumen

Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in global usage, the imperative to capture and better understand the messages disseminated within these networks becomes increasingly crucial. Moreover, the occurrence of adverse events, such as the emergence of a pandemic or conflicts in various parts of the world, heightens social media users? inclinations towards these platforms. In this context, this paper aims to explore the scientific literature dedicated to the utilization of NLP in social media research, with the goal of highlighting trends, keywords, and collaborative networks within the authorship that contribute to the proliferation of papers in this field. To achieve this objective, we extracted and analyzed 1852 papers from the ISI Web of Science database. An initial observation reveals a remarkable annual growth rate of 62.18%, underscoring the heightened interest of the academic community in this domain. This paper includes an n-gram analysis and a review of the most cited papers in the extracted database, offering a comprehensive bibliometric analysis. The insights gained from these efforts provide essential perspectives and contribute to identifying pertinent issues in social media analysis addressed through the application of NLP.

 Artículos similares

       
 
Giuliana Favara, Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio and Antonella Agodi    
Background: Natural language processing, such as ChatGPT, demonstrates growing potential across numerous research scenarios, also raising interest in its applications in public health and epidemiology. Here, we applied a bibliometric analysis for a syste... ver más
Revista: Informatics

 
?tefan Ionescu, Camelia Delcea, Nora Chiri?a and Ionu? Nica    
This research provides a comprehensive analysis of the dynamic interplay between agent-based modeling (ABM) and artificial intelligence (AI) through a meticulous bibliometric study. This study reveals a substantial increase in scholarly interest, particu... ver más
Revista: Algorithms

 
Toni Me?trovic, Ivica Pavic, Mislav Maljkovic and Andrej Androjna    
The maritime industry is undergoing a profound transformation with the integration of autonomous technologies, which brings new challenges and opportunities for the education and training of seafarers. This article aims to examine the evolving landscape ... ver más
Revista: Applied Sciences

 
Peijie Yang, Jie Xue and Hao Hu    
With the significant role that Unmanned Surface Vessels (USVs) could play in industry, the military and the transformation of ocean engineering, a growing research interest in USVs is attracted to their innovation, new technology and automation. Yet, the... ver más

 
Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed    
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ... ver más
Revista: Water