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Content analysis: Frequency distribution of words

Author

Listed:
  • Mehmet F. Dicle

    (Loyola University New Orleans)

  • Betul Dicle

    (Research and Teaching Associates)

Abstract

Many academic fields use content analysis. At the core of most common content analysis lies frequency distribution of individual words. Websites and documents are mined for usage and frequency of certain words. In this article, we introduce a community-contributed command, wordfreq, to process content (online and local) and to prepare a frequency distribution of individual words. Additionally, another community-contributed command, wordcloud, is introduced to draw a simple word cloud graph for visual analysis of the frequent usage of specific words. Copyright 2018 by StataCorp LP.

Suggested Citation

  • Mehmet F. Dicle & Betul Dicle, 2018. "Content analysis: Frequency distribution of words," Stata Journal, StataCorp LP, vol. 18(2), pages 379-386, June.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:2:p:379-386
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    Cited by:

    1. Shuqi Lou & Xiaoyue You & Tao Xu, 2024. "Sustainable Supplier Evaluation: From Current Criteria to Reconstruction Based on ESG Requirements," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    2. Singh, Yashdeep & Suri, Pradeep Kumar, 2022. "An empirical analysis of mobile learning app usage experience," Technology in Society, Elsevier, vol. 68(C).
    3. Kärnä, Anders & Karlsson, Johan & Engberg, Erik & Svensson, Peter, 2020. "Political Failure: A Missing Piece in Innovation Policy Analysis," Working Paper Series 1334, Research Institute of Industrial Economics, revised 21 Apr 2022.
    4. Khalid Hamad Abaalzamat & Khalid Ibrahim Al-Sulaiti & Nidal Mohammed Alzboun & Hamzah Ali Khawaldah, 2021. "The Role of Katara Cultural Village in Enhancing and Marketing the Image of Qatar: Evidence From TripAdvisor," SAGE Open, , vol. 11(2), pages 21582440211, June.

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