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Supporting the Text Preprocessing by Means a Web Tool

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Unstructured data contains important information that can offer insights in a variety of fields, but the lack of a predefined format makes it difficult to analyze, manage, and use effectively. This paper investigates the crucial role that textual data processing plays and presents a web tool that was developed in Python and Django. This tool includes standard procedures for processing data, which include eliminating stop words, lemmatization, stemming, and generating bigrams and trigrams. Additionally, the tool was tested with citizen security-related data taken from X social media.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems, ICITS 2025
EditoresAlvaro Rocha, Carlos Ferrás, Hiram Calvo
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas303-312
Número de páginas10
ISBN (versión impresa)9783031931086
DOI
EstadoPublicada - 2025
EventoInternational Conference on Information Technology and Systems, ICITS 2025 - Mexico City, México
Duración: 22 ene. 202525 ene. 2025

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1447 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2025
País/TerritorioMéxico
CiudadMexico City
Período22/01/2525/01/25

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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