Textual analysis with Python and Large Language Models - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

Textual analysis with Python and Large Language Models

Résumé

This workshop offers a comprehensive introduction to the burgeoning field of textual analysis using Python and Large Language Models (LLMs). Designed for graduate students and researchers across disciplines, the workshop requires no prerequisites and promises to equip participants with the foundational skills necessary to harness the power of textual data. Through a blend of theoretical instruction and practical exercises, attendees will explore the capabilities of Python as a tool for natural language processing and how LLMs can be integrated to unlock deeper insights.
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Dates et versions

hal-04411521 , version 1 (23-01-2024)

Identifiants

  • HAL Id : hal-04411521 , version 1

Citer

Marianne Reboul. Textual analysis with Python and Large Language Models. Fourth Conference on Computational Humanities Research, Florian Cafiero; Marie Puren; Fotis Jannidis; Folgert Karsdorp; Iza Romanowska; Artjoms Šeļa; Melvin Wevers, Dec 2023, Paris, France. ⟨hal-04411521⟩
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