Social Comquant SUMMER SCHOOL 2022: Text mining and Natural Language Processing for Computational Social Sciences
The Social ComQuant project aims at radically expanding the scientific excellence and innovation capacity (methodological and theoretical) in computational and quantitative social sciences fields at Koç University and other academic institutions in Turkey via Twinning Action together with GESIS and ISI in the aforementioned fields. CSS and QSS are the two leading methodological domains in state-of-the-art social sciences, while in Turkey, they are relatively underdeveloped fields.
One of the main goals of the Social ComQuant project is developing and organizing summer schools in CSS. The 2nd Social ComQuant Summer School in Computational Social Sciences took place at Koç University in Istanbul between July 25 - 29, 2022. The School focused on methods for analyzing and modeling textual data (e.g. text mining, text classification, information extraction, sentiment analysis, latent semantic models, NLP, event extraction).
For more information have a look at => https://socialcomquant.ku.edu.tr/summer-school-2022/
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Data Analysis and Visualization by Dr. N. Gizem Bacaksizlar Turbic.
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Text Classification: Emotion Detection as a Case Study by Dr. Malak Abdullah.
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Hands-on Introduction to ML with Scikit-learn by Dr. Arnim Bleier.
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Network Theory Introduction and Analysis by Dr. Michele Tizzoni.
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Topic Modelling in R Studio by Dr. Ayşe Deniz Lokmanoğlu.
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Towards "Fair" NLP Models: An Overview of Recent Bias Detection and Mitigation Strategies by Dr. Gözde Gül Şahin.
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Text Representation Learning by Dr. André Panisson.
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Applying NLP & ML for CSS: Case Studies in Public Health by Dr. Yelena Mejova.
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Regular Expressions by Dr. Ali Hürriyetoğlu.
You can try it:
Materials are licensed under CC BY-SA 4.0.
