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Natural Language Processing and Machine Learning Methods for the Social Sciences (SPS-WS-AVR-MA-22)

SPS-WS-AVR-MA-22


Department SPS
Course category SPS Workshop
Course type Workshop
Academic year 2022-2023
Term 1ST TERM
Credits 10 (EUI SPS Department)
Professors
Contact Bufano, Charlotte
  Course materials
Sessions

09/11/2022 9:00-13:00 @ Theatre, Badia Fiesolana

11/11/2022 13:00-16:15 @ Theatre, Badia Fiesolana

16/11/2022 9:00-12:00 @ Sala del Capitolo, Badia Fiesolana

Purpose

Data Science is a rapidly emerging discipline at the intersection of statistics, machine learning, data visualization, and mathematical modeling.  This course will provide an introduction to data science methods for social scientists, focusing on methods for networks and text-oriented data associated with social media.   I will present modern approaches to natural language processing (NLP) based on machine learning, and vector representations (embeddings) for effectively capturing network data in predictive models.   The final choice of topics will depend upon student interests.
This minicourse will be based on the instructor's book, "The Data Science Design Manual", Springer-Verlag, 2017.
 

Description


 

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Page last updated on 21 September 2018

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