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TACIT: An open-source text analysis, crawling, and interpretation tool.

Morteza Dehghani1, Kate M Johnson2, Justin Garten2

  • 1University of Southern California, 3620 S. McClintock Avenue, Los Angeles, CA, USA. mdehghan@usc.edu.

Behavior Research Methods
|March 6, 2016
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Summary
This summary is machine-generated.

Digital footprints from online activities offer insights into human behavior. The Text Analysis, Crawling, and Interpretation Tool (TACIT) simplifies complex data analysis for researchers.

Keywords:
Automated text analysisComputational linguisticsCorpus analysis toolsLanguage-based assessment

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Area of Science:

  • Social Sciences
  • Computer Science
  • Digital Humanities

Background:

  • Online activities generate vast digital data, offering insights into psychological and social processes.
  • Analyzing large-scale digital data presents challenges in complexity and requires specialized expertise.
  • Existing computational tools often demand significant programming knowledge, limiting accessibility.

Purpose of the Study:

  • To introduce the Text Analysis, Crawling, and Interpretation Tool (TACIT) as a solution for accessible large-scale digital data analysis.
  • To bridge the gap between advanced text analysis methods and researchers without extensive programming backgrounds.
  • To provide an intuitive platform for utilizing state-of-the-art text analysis and data management techniques.

Main Methods:

  • Development of an intuitive tool and interface for text analysis and large-scale data management.
  • Implementation of an open, extensible, plugin-driven architecture for TACIT.
  • Integration of state-of-the-art methods in text analysis and data handling.

Main Results:

  • TACIT provides an accessible interface for complex digital data analysis.
  • The tool empowers researchers to leverage advanced text analysis techniques without specialized programming skills.
  • The open architecture facilitates future expansion and integration of new analytical methods.

Conclusions:

  • TACIT democratizes the analysis of digital residues for psychological and social research.
  • The platform enhances research capabilities by simplifying complex data management and analysis.
  • Its extensible design ensures long-term utility and adaptability to evolving research methodologies.