The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …

Identifying hidden semantic structures in Instagram data: a topic modelling comparison |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …

The classification and recommendation system for identifying social networking site (SNS)
users' interests plays a critical role in various industries, particularly advertising …

Fraud detection through auditors' manual review of accounting and financial records has
traditionally relied on human experience and intuition. However, replicating this task using …

In the new global era, determining trends can play an important role in guiding researchers,
scientists, and agencies. The main faced challenge is to track the emerging topics among …

RESUMEN El Procesamiento de Lenguaje Natural se ha convertido en una disciplina clave
en la era digital. Con el aumento en la cantidad de información que se genera diariamente …

In the field of software development, Static Analysis Tools (SAT) have become increasingly
popular for identifying and fixing potential issues in code. These tools help improve code …

Eating Disorders (ED) represent an ubiquitous group of psychiatric illnesses, affecting
mostly young adolescents and characterized by a strong self-protective attitude. However …

Text classification assigns predefined categories to text using machine learning models
based onlearned patterns on extracted features. Feature-level sparsity occurs as not all …

[ES] Este trabajo se centra en los modelos teóricos clásicos más representativos que han
marcado el desarrollo del modelado de temas en la minería textual, razón por la cual se ha …