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Text mining to explore Food Systems

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Text mining to explore Food Systems

Versión 1.0 Aprobado
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Tuula Loytty
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Documento básico
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pdf
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1,2MB
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17/06/21 7:45 por Tuula Loytty
Creado
17/06/21 7:45 por Tuula Loytty
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Descripción
Semantic Explorer (SemEx) is one of the technical and innovative outputs of the PoliRural research project financed by the Horizon2020 Program of the EU. SemEx's ambitious vision is to provide support to researchers and facilitators by reducing the cognitive load related to tasks that are essential to research, development, and innovation actions.

Smart & Lean Hub (S&L Hub) a consortium partner in two Horizon2020 projects: PoliRural and CITIES2030. S&L Hub exploits SemEx in the CITIES2030 work package 3 and task 3.4 which is about systems thinking, system modelling and food systems.

This document demonstrates the results of the experiment. The aim of the experiment is to test the power, features, and outputs of SemEx, and also limitations, to assess its usability and usefulness.

The main chapters of the document are:
Main Library: added sources
Curated Reading List (CRL): Food Systems
Three tools for analytics: Topic Explorer, Polarity Scores and Social Media (incl. KIBANA)

www.cities2030.eu

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application/pdf; version=1.4
ANNEX C. Text mining to explore Food Systems
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    Por Tuula Loytty, en 17/06/21 7:45

Text mining to explore Food Systems

Vista en miniatura Subido por Tuula Loytty, 17/06/21 7:45
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Contenidos relacionados:

Semantic Explorer (SemEx) is one of the technical and innovative outputs of the PoliRural research project financed by the Horizon2020 Program of the EU. SemEx's ambitious vision is to provide support to researchers and facilitators by reducing the cognitive load related to tasks that are essential to research, development, and innovation actions.

Smart & Lean Hub (S&L Hub) a consortium partner in two Horizon2020 projects: PoliRural and CITIES2030. S&L Hub exploits SemEx in the CITIES2030 work package 3 and task 3.4 which is about systems thinking, system modelling and food systems.

This document demonstrates the results of the experiment. The aim of the experiment is to test the power, features, and outputs of SemEx, and also limitations, to assess its usability and usefulness.

The main chapters of the document are:
Main Library: added sources
Curated Reading List (CRL): Food Systems
Three tools for analytics: Topic Explorer, Polarity Scores and Social Media (incl. KIBANA)

www.cities2030.eu
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