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Synapse
March 21, 20260 citationsOpen Access

Digital Behaviour Data: Impact of Basic Text Pre-Processing on Data Quality Slide deck

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LFLeon FröhlingGESIS - Leibniz-Institute for the Social Sciences

Key Points

  • The central aim is to examine how basic text pre-processing can enhance the quality of digital behavior data.
  • Discussed techniques for automating API interactions and following best practices.
  • Covered the installation and usage of the Wikipedia API wrapper.
  • Explored code functions for easier API interaction and data access.
  • Identified advantages and disadvantages of using API wrappers.
  • Highlighted methods to make API interactions more user-friendly.
  • Explained strategies for accessing more data beyond initial queries.

Abstract

This presentation covers the basics of automating API interactions, navigating API documentation, and following API Etiquette. It also provides information about installing and using the Wikipedia API wrapper, and advantages and disadvantages of using wrappers. The presentation also covers how to make API interactions more convenient by wrapping code in functions, how to identify and implement additional functionality, and how to access data beyond the first query. This presentation is the third part of a set of presentations on the topic of "Tools and Workflows (Digital Behaviour Data)". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1263#module-3389

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Cite This Study

Leon Fröhling (2025) studied this question.

synapsesocial.com/papers/69be37626e48c4981c676fbchttps://doi.org/10.5281/zenodo.19050038
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