Course: Natural Language Processing

Instructor: Yadira Lizama Mué

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Forthcoming to the International Summer School on Digital Art History (DAHSS), a joint initiative of the University of Málaga and the University of Berkeley, Track E (Aug 30th – Sept 4th, 2021).

This course explores the power of NLP to study what textual data on a large scale can tell us about art. NLP is a field of Artificial Intelligence that centers around measuring human language to make it intelligible to machines. It combines the power of linguistics and computer science to contemplate the guidelines and structure of language and make intelligent systems fit for comprehension, breaking down, and separating significance from text and speech.

We’ll learn a wide range of NLP topics, such as regular expressions, word tokenization, named-entity recognition, topics extraction, sentiment analysis, and text classification. We’ll also gain practical experience in the use of tools such as Spacy, alongside libraries that utilize deep learning to solve common NLP problems. We will have the opportunity to explore big collections of texts related to art included in H.W.Wilson’s Art Full Text database, Project Muse, among others.

Course: Theory and Practice of Cultural Networks

Instructor: Yadira Lizama Mué

Cultural networks model the relations between cultural objects -texts, books, artistic objects, music, etc.-, their creators, and the public that interact with them. They represent a dynamic structure that changes in time and space through the creation of links among their elements that help to understand how our culture is connected. In consequence, we must be able to exploit all its potentials to understand different questions regarding the past and the present of cultural evolution, migrations, world flow of ideas, and collective behaviours around social media.

This course works with the concept of cultural networks from a practical approach starting from the primary understanding of network theory. It emphasizes the use of digital tools in a project-based learning methodology that guides the student on how to tackle problems in the context of cultural networks. Students will also get professional training using a development framework adaptable to Digital Humanities projects.

The course is structured in a series of lectures followed by in-class hands-on workshops where students will practice the content introduced in each class. The main objective is learning to discover and understand the connections that make culture possible.

 

Upon the successful completion of this course, students will be able to:

        • Think about culture as a complex dynamic network that continuously evolves.
        • Apply network theory principles to model and interpret linked information in real-life cultural contexts.
        • Identify concepts, characteristics, types of relations, models, statistics and metrics associated with cultural networks through the analysis of specialized bibliography and case studies.
        • Use digital tools for modelling, analyze, store and visualize networks.
        • Develop collaboration skills that help them to grow professionally and perform in future challenging DH projects.