Result: Textual analysis with Python and Large Language Models

Title:
Textual analysis with Python and Large Language Models
Authors:
Reboul, Marianne
Contributors:
Institut d’Histoire des Représentations et des Idées dans les Modernités (IHRIM), École normale supérieure de Lyon (ENS de Lyon), Université de Lyon-Université de Lyon-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Approches Littéraires, Linguistiques et Historiques des Sources (ALLHiS), Université Jean Monnet - Saint-Étienne (UJM), Florian Cafiero, Marie Puren, Fotis Jannidis, Folgert Karsdorp, Iza Romanowska, Artjoms Šeļa, Melvin Wevers
Source:
Fourth Conference on Computational Humanities Research, Florian Cafiero; Marie Puren; Fotis Jannidis; Folgert Karsdorp; Iza Romanowska; Artjoms Šeļa; Melvin Wevers, Dec 2023, Paris, France
Publisher Information:
CCSD, 2023.
Publication Year:
2023
Collection:
collection:SHS
collection:UNIV-ST-ETIENNE
collection:ENS-LYON
collection:UNIV-LYON3
collection:PRES_CLERMONT
collection:CNRS
collection:UNIV-BPCLERMONT
collection:UNIV-LYON2
collection:CERHAC
collection:LYON2
collection:IHRIM
collection:UDL
collection:UNIV-LYON
collection:HAL-LYON-2-NOUVELLE-VERSION
Subject Terms:
Digital humanities, Digital classics, [SHS]Humanities and Social Sciences
Subject Geographic:
Paris, France
Original Identifier:
HAL: hal-04411521
Document Type:
Conference conferenceObject<br />Conference papers
Language:
English
Availability:
https://hal.science/hal-04411521
Accession Number:
edshal.hal.04411521v1
Database:
HAL

Further Information

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.