Big data en ciencias sociales. Una introducción a la automatización de análisis de datos de texto mediante procesamiento de lenguaje natural y aprendizaje automático

Taboada Villamarín, Alba

doi:10.54790/rccs.51

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…To this end, a systematic review of the existing literature has been chosen, resorting to emerging approaches to conduct massive literature analyses through computational techniques. These approaches have proven to be highly successful in understanding the current state of affairs in topics with a high density of publications, allowing for the identification of trends and patterns in research (some examples can be consulted in Karami et al 2020;Cao et al 2023;Taboada Villamarín 2024). This approach involves the application of two sophisticated natural language processing algorithms: the K-means clustering algorithm and the Latent Dirichlet Allocation model.…”

Section: Methodsmentioning

confidence: 99%

Digital Communication Studies during the Pandemic: A Sociological Review Using Topic Modeling Strategy

Taboada-Villamarín,

Torres-Albero

2024

Social Sciences

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The health crisis triggered by COVID-19 has exerted a profound influence on both conventional communication methods and the manifestations of interaction within the virtual sphere. Gradually, studies on digital communication have taken on an increasingly prominent role in various social science disciplines that address determinants such as the crisis of misinformation or digital interaction in contemporary societies. This study aims to analyze the key research topics that sociology has addressed in relation to the pandemic, along with the level of innovation in the utilization of digital sources and analytical methodology. The analysis is grounded in the hypothesis that the effects of the pandemic have led the discipline of sociology to reassess and more fully integrate studies on digital communication. On this premise, a systematic review of studies sourced from the Web of Science (WoS) and Scopus databases was executed. Innovative computational methodologies were employed for the categorization of articles and the elucidation of principal research topics. Furthermore, this research scrutinized the principal digital platforms utilized in these investigations and assessed the extent of methodological innovation applied to data analysis. The outcomes unveiled a pronounced ascendancy in the prominence of communication studies during the pandemic. Nevertheless, it is noteworthy that the utilization of digital data sources in research remains surprisingly limited. This observation highlights a potential avenue for further exploration within the domain of sociological research, promising a more profound and contemporaneous comprehension of social phenomena amid times of crisis.

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Section: Methodsmentioning

confidence: 99%

Digital Communication Studies during the Pandemic: A Sociological Review Using Topic Modeling Strategy

Taboada-Villamarín,

Torres-Albero

2024

Social Sciences

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La evolución del procesamiento del lenguaje natural y su influencia en la inteligencia artificial: Una revisión y líneas de investigación futura

Delso Vicente,

Carvajal Camperos,

Corral De La Mata

2024

epsir

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Introducción: Este estudio revisa los desarrollos significativos en el procesamiento del lenguaje natural (PLN) y su impacto en la inteligencia artificial (IA), enfocándose en los avances en modelos de lenguaje, infraestructuras computacionales y la integración de métodos de aprendizaje automático. Metodología: Se realizó una revisión sistemática de la literatura utilizando las directrices PRISMA, centrada en artículos publicados entre 2022 y 2024. Se utilizó Web of Science, con términos de búsqueda como "procesamiento del lenguaje natural", "PLN". Resultados: La revisión destaca el papel crítico de los modelos de lenguaje avanzados como GPT-4, BERT y sus variantes en la mejora de la comprensión y generación del lenguaje natural, la importancia de infraestructuras de computación de alto rendimiento y el uso de técnicas de aprendizaje automático para optimizar tareas de PLN. Discusión: Los hallazgos confirman la relevancia de infraestructuras computacionales robustas y revelan nuevas perspectivas sobre la rápida evolución y adopción más amplia de técnicas de PLN en diversos sectores. Conclusiones: Es esencial continuar invirtiendo en infraestructuras computacionales y el desarrollo de modelos de lenguaje avanzados. La investigación futura debe ampliar el periodo de estudio, diversificar los idiomas, incluir literatura gris, realizar estudios longitudinales y explorar los desafíos de la ética y la privacidad en la implementación de técnicas de PLN.

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Online course feedback comments clustering via document similarity

Ruiz-Alonso,

Zepeda-Cortés,

Castilllo-Zacatelco

et al. 2024

JTAE

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Feedback is information provided to a student related to their skills or demonstrated performance during the completion of a task, usually after instruction (Hattie and Timperley, 2007). Feedback has been identified as a factor that can influence student performance (Fui and Lian, 2018; Martínez and Vargas, 2014; Uribe and Vaughan, 2017; Wisniewski et al., 2020) by allowing the students to identify what they need to achieve success according to what is expected of them, self-evaluating their learning and thinking on their actions and consequences, allowing them to reach goals and objectives. Likewise, it has been identified that little or ineffective feedback can lead to school dropout (Wisniewski et al., 2020).

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Big data en ciencias sociales. Una introducción a la automatización de análisis de datos de texto mediante procesamiento de lenguaje natural y aprendizaje automático

Cited by 3 publications

References 35 publications

Digital Communication Studies during the Pandemic: A Sociological Review Using Topic Modeling Strategy

Digital Communication Studies during the Pandemic: A Sociological Review Using Topic Modeling Strategy

La evolución del procesamiento del lenguaje natural y su influencia en la inteligencia artificial: Una revisión y líneas de investigación futura

Online course feedback comments clustering via document similarity

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