An Intelligent system for the categorization of question time official documents of the Italian Chamber of Deputies
Datos Bibliográficos
| ID | 12972304 |
|---|---|
| Autores | Alice Cavalieri (0000-0003-0553-8574), Pietro Ducange (0000-0003-4510-1350, Ospedale San Pietro Fatebenefratelli, autor de correspondencia), Sarah Fabi (0000-0001-7149-7147), Federico Russo (0000-0002-0052-6796, Twitter (United States)), Nicola Tonellotto (0000-0002-7427-1001, Twitter (United States)) |
| Año | 2022 |
| Volumen | 20 |
| Número | 3 |
| Páginas | 213-234 |
| Fecha de publicación | 2022-06-09 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Journal of Information Technology & Politics (JOURNAL) |
| Identificadores de la revista | ISSN: 1933-169X • E-ISSN: 1933-1681 |
| Editorial | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/19331681.2022.2082622 |
| OpenAlex | W4281658826 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 45 |
In this work, we present an intelligent system for the automatic categorization of political documents, specifically the documents containing the parliamentary questions collected during the weekly Question Times at the Chamber of Deputies of the Italian Republic. The proposed intelligent system leverages text classification models to perform the document categorization. The system is aimed at supporting and facilitating the research activities of political science scholars, who deal with comparative and longitudinal analysis of thousands of documents. To select the best classification models for our specific task, several classical machine learning and deep learning-based text classification models have been experimentally compared
Categorization · Chamber of Deputies · Information retrieval · Natural language processing · Political science · Politics · Task (project management · Text categorization · Work (physics · Advanced Text Analysis Techniques · Computational and Text Analysis Methods · Computer Science · Engineering · Topic Modeling · Artificial Intelligence
Theories of the Policy Process
Transformers
Quanteda
Support-Vector Networks
The Graph Neural Network Model
General purpose computer-assisted clustering and conceptualization
Building Predictive Models in R Using the caret Package
Long Short-Term Memory
Comparative Policy Agendas
Tradeoffs in Accuracy and Efficiency in Supervised Learning Methods
Computer-Assisted Topic Classification for Mixed-Methods Social Science Research
Automatic translation, context, and supervised learning in comparative politics
Proportional Classification Revisited
Text as Data
A Bayesian Hierarchical Topic Model for Political Texts
Collaborating with the Machines
The Policyscape and the Challenges of Contemporary Politics to Policy Maintenance
From agenda setters to agenda takers? The determinants of party issue attention in times of crisis
How to Analyze Political Attention with Minimal Assumptions and Costs
Using Supervised Machine Learning to Code Policy Issues
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |