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 language | English |
|---|---|
| Title of host publication | Information Technology and Systems, ICITS 2025 |
| Editors | Alvaro Rocha, Carlos Ferrás, Hiram Calvo |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 303-312 |
| Number of pages | 10 |
| ISBN (Print) | 9783031931086 |
| DOIs | |
| State | Published - 2025 |
| Event | International Conference on Information Technology and Systems, ICITS 2025 - Mexico City, Mexico Duration: 22 Jan 2025 → 25 Jan 2025 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1447 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Information Technology and Systems, ICITS 2025 |
|---|---|
| Country/Territory | Mexico |
| City | Mexico City |
| Period | 22/01/25 → 25/01/25 |
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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