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sorrychoe/README.md

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  • Computational Communication researcher bridging social science theory and data science methods.

  • Experienced in HRD & Marketing, including large-scale data integration, visualization, and performance analysis.

  • Proficient in Python and R, applying computational approaches such as Topic Modeling and Text Clustering.

  • Passionate about leveraging computational methods to advance communication research, connecting academic inquiry with societal impact.


Github Stat

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  1. media_coverage_of_mental_illness media_coverage_of_mental_illness Public

    Media Coverage of Mental Illness and the Reproduction of Social Stigma: An Analysis of Coverage of Bipolar Disorder, Depression and Schizophrenia in Major Korean Newspapers.

    Jupyter Notebook

  2. softened_neo-nationalism_in_youtube softened_neo-nationalism_in_youtube Public

    Softened neo-nationalist public sphere and affective reception of ’Gukppong’ content: An analysis of YouTube Shorts comments using sBERT embeddings and K-means clustering.

    Jupyter Notebook

  3. Finding-Optimal-Vertiport Finding-Optimal-Vertiport Public

    A project to find optimal vertiport locations in the Seoul Metropolitan Area using K-Means clustering.

    Jupyter Notebook 1 4

  4. Everything-of-Handong Everything-of-Handong Public

    Forked from TMT2/Everything-of-Handong

    A project of Analysis News about Handong Global University

    R

  5. pyBigKinds pyBigKinds Public

    BigKinds Data Analysis Toolkit for python

    Python 1

  6. RBigKinds RBigKinds Public

    BigKinds Data Analysis Toolkit for R

    R