NLP and Public Engagement: The Case of the Italian School Reform

Tommaso Caselli; Giovanni Moretti; Rachele Sprugnoli; Sara Tonelli; Damien Lanfrey; Donatella Solda Kutzmann

NLP and Public Engagement: The Case of the Italian School Reform

Tommaso Caselli
, Giovanni Moretti
, Rachele Sprugnoli
, Sara Tonelli
, Damien Lanfrey
, Donatella Solda Kutzmann

Università Cattolica del Sacro Cuore

Vrije Universiteit Amsterdam
Fondazione Bruno Kessler
MIUR

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we present PIERINO (PIattaforma per l’Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens’ comments given in #labuonascuola survey. The platform includes various levels of automatic analysis such as key-concept extraction and word co-occurrences. Each analysis is displayed through an intuitive view using different types of visualizations, for example radar charts and sunburst. PIERINO was effectively used to support shaping the last Italian school reform, proving the potential of NLP in the context of policy making.

Original language	English
Title of host publication	Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Pages	401-406
Number of pages	6
Publication status	Published - 2016
Event	LREC 2016 - Portorož, Slovenia Duration: 23 May 2016 → 28 May 2016

Conference

Conference	LREC 2016
City	Portorož, Slovenia
Period	23/5/16 → 28/5/16

Keywords

Text Mining, Information visualization, E-government

Cite this

@inproceedings{cef8c18db28e4203ad6bf53d72206473,

title = "NLP and Public Engagement: The Case of the Italian School Reform",

abstract = "In this paper we present PIERINO (PIattaforma per l{\textquoteright}Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens{\textquoteright} comments given in \#labuonascuola survey. The platform includes various levels of automatic analysis such as key-concept extraction and word co-occurrences. Each analysis is displayed through an intuitive view using different types of visualizations, for example radar charts and sunburst. PIERINO was effectively used to support shaping the last Italian school reform, proving the potential of NLP in the context of policy making.",

keywords = "Text Mining, Information visualization, E-government, Text Mining, Information visualization, E-government",

author = "Tommaso Caselli and Giovanni Moretti and Rachele Sprugnoli and Sara Tonelli and Damien Lanfrey and Kutzmann, \{Donatella Solda\}",

year = "2016",

language = "English",

isbn = "978-2-9517408-9-1",

pages = "401--406",

booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)",

note = "LREC 2016 ; Conference date: 23-05-2016 Through 28-05-2016",

}

TY - GEN

T1 - NLP and Public Engagement: The Case of the Italian School Reform

AU - Caselli, Tommaso

AU - Moretti, Giovanni

AU - Sprugnoli, Rachele

AU - Tonelli, Sara

AU - Lanfrey, Damien

AU - Kutzmann, Donatella Solda

PY - 2016

Y1 - 2016

N2 - In this paper we present PIERINO (PIattaforma per l’Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens’ comments given in #labuonascuola survey. The platform includes various levels of automatic analysis such as key-concept extraction and word co-occurrences. Each analysis is displayed through an intuitive view using different types of visualizations, for example radar charts and sunburst. PIERINO was effectively used to support shaping the last Italian school reform, proving the potential of NLP in the context of policy making.

AB - In this paper we present PIERINO (PIattaforma per l’Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens’ comments given in #labuonascuola survey. The platform includes various levels of automatic analysis such as key-concept extraction and word co-occurrences. Each analysis is displayed through an intuitive view using different types of visualizations, for example radar charts and sunburst. PIERINO was effectively used to support shaping the last Italian school reform, proving the potential of NLP in the context of policy making.

KW - Text Mining, Information visualization, E-government

UR - http://hdl.handle.net/10807/132950

M3 - Conference contribution

SN - 978-2-9517408-9-1

SP - 401

EP - 406

BT - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

T2 - LREC 2016

Y2 - 23 May 2016 through 28 May 2016

ER -

NLP and Public Engagement: The Case of the Italian School Reform

Abstract

Conference

Keywords

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Cite this