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Supporting the Text Preprocessing by Means a Web Tool

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInformation Technology and Systems, ICITS 2025
EditorsAlvaro Rocha, Carlos Ferrás, Hiram Calvo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages303-312
Number of pages10
ISBN (Print)9783031931086
DOIs
StatePublished - 2025
EventInternational Conference on Information Technology and Systems, ICITS 2025 - Mexico City, Mexico
Duration: 22 Jan 202525 Jan 2025

Publication series

NameLecture Notes in Networks and Systems
Volume1447 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Information Technology and Systems, ICITS 2025
Country/TerritoryMexico
CityMexico City
Period22/01/2525/01/25

Bibliographical note

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

Keywords

  • artificial intelligence
  • citizen security
  • natural language processing
  • text preprocessing

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