Classification of Poverty Condition Using Natural Language Processing
Bibliographic Data
| ID | 2064154 |
|---|---|
| Authors | Guberney Muñetón-Santa (0000-0002-5194-1914, Universidad de Antioquia, corresponding author), Daniel Escobar-Grisales (0000-0002-3257-0134, Universidad de Antioquia), Felipe Orlando López-Pabón (0000-0002-1209-6578, Universidad de Antioquia), Paula Andrea Pérez-Toro (0000-0002-2727-2116, Universidad de Antioquia), Juan Rafael Orozco-Arroyave (0000-0002-8507-0782, Universidad de Antioquia) |
| Year | 2022 |
| Volume | 162 |
| Issue | 3 |
| Pages | 1413-1435 |
| Publication date | 2022-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11205-022-02883-z |
| OpenAlex | W4210831840 |
| Language | EN |
| Citations received | 3 |
| References cited | 55 |
Baseline (sea · Boosting (machine learning · Concatenation (mathematics · Gradient boosting · Linguistics · Machine learning · Natural language · Natural language processing · Political science · Poverty · Random forest · Support vector machine · Word (group theory · Computer Science · ICT in Developing Communities · Mathematics · Sentiment Analysis and Opinion Mining · Text and Document Classification Technologies · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |