Machine Learning Articles Extracted from Google Scholar

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.