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ZENODO
Dataset . 2024
License: CC 0
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC 0
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC 0
Data sources: Datacite
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Machine Learning Articles Extracted from Google Scholar

Authors: Sanchez, Luis Felipe; Florez, Edwin;

Machine Learning Articles Extracted from Google Scholar

Abstract

Este dataset fue creado como parte de una práctica de web scraping orientada a capturar información académica desde Google Scholar. Contiene datos sobre artículos de investigación en Machine Learning, tales como el título del artículo, autores, resumen, enlace directo al artículo, número de citas, y la referencia en formato APA. Este conjunto de datos fue recolectado utilizando Python y Selenium, con el fin de desarrollar habilidades en el uso de herramientas de scraping para la extracción de datos en sitios web con contenido dinámico. El dataset fue generado específicamente como parte de una práctica académica para aprender y aplicar técnicas de web scraping, sin un propósito de análisis en profundidad de los datos obtenidos. Se espera que este dataset sirva como recurso para el aprendizaje y la evaluación de los métodos empleados en la recolección de datos de la web. Campos incluidos: title: Título del artículo de investigación. link: Enlace directo al artículo. authors: Nombres de los autores del artículo. description: Resumen o descripción breve del artículo. citations: Número de veces que el artículo ha sido citado en Google Scholar. APA_citation: Cita del artículo en formato APA. Este dataset fue creado exclusivamente para fines educativos y para demostrar la aplicación de técnicas de web scraping en un entorno controlado.

This dataset was created as part of a web scraping practice aimed at capturing academic information from Google Scholar. It contains data on Machine Learning research articles, including the article's title, authors, summary, direct link, citation count, and APA reference. This dataset was collected using Python and Selenium to develop skills in web scraping tools for extracting data from websites with dynamic content. The dataset was generated specifically as part of an academic exercise to learn and apply web scraping techniques, without a deep analysis intent for the data obtained. This dataset is intended as a resource for learning and evaluating the methods used in web data collection. Included Fields: title: Title of the research article. link: Direct link to the article. authors: Names of the article’s authors. description: Summary or brief description of the article. citations: Number of times the article has been cited on Google Scholar. APA_citation: APA-formatted citation of the article. This dataset was created solely for educational purposes and to demonstrate the application of web scraping techniques in a controlled environment.

Related Organizations
Keywords

machine learning, data science, google scholar, scraping

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average