Personal Research Assistant for Online Exploration of Historical News

We present a novel environment for exploratory search in large collections of historical newspapers developed as a part of the NewsEye project. In this paper we focus on the intelligent Personal Research Assistant (PRA) component in the environment and the web interface. The PRA is an interactive ex...

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Autores principales: Pivovarova, Lidia, Jean-Caurant, Axel, Avikainen, Jari, Alnajjar, Khalid, Granroth-Wilding, Mark, Leppänen, Leo, Zosa, Elaine, Toivonen, Hannu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148060/
http://dx.doi.org/10.1007/978-3-030-45442-5_62
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author Pivovarova, Lidia
Jean-Caurant, Axel
Avikainen, Jari
Alnajjar, Khalid
Granroth-Wilding, Mark
Leppänen, Leo
Zosa, Elaine
Toivonen, Hannu
author_facet Pivovarova, Lidia
Jean-Caurant, Axel
Avikainen, Jari
Alnajjar, Khalid
Granroth-Wilding, Mark
Leppänen, Leo
Zosa, Elaine
Toivonen, Hannu
author_sort Pivovarova, Lidia
collection PubMed
description We present a novel environment for exploratory search in large collections of historical newspapers developed as a part of the NewsEye project. In this paper we focus on the intelligent Personal Research Assistant (PRA) component in the environment and the web interface. The PRA is an interactive exploratory engine that combines results of various text analysis tools in an unsupervised fashion to conduct autonomous investigations on the data according to users’ needs. The PRA is freely available online together with some datasets of European historical newspapers. The methods used by the assistant are of potential benefit to other exploratory search applications.
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spelling pubmed-71480602020-04-13 Personal Research Assistant for Online Exploration of Historical News Pivovarova, Lidia Jean-Caurant, Axel Avikainen, Jari Alnajjar, Khalid Granroth-Wilding, Mark Leppänen, Leo Zosa, Elaine Toivonen, Hannu Advances in Information Retrieval Article We present a novel environment for exploratory search in large collections of historical newspapers developed as a part of the NewsEye project. In this paper we focus on the intelligent Personal Research Assistant (PRA) component in the environment and the web interface. The PRA is an interactive exploratory engine that combines results of various text analysis tools in an unsupervised fashion to conduct autonomous investigations on the data according to users’ needs. The PRA is freely available online together with some datasets of European historical newspapers. The methods used by the assistant are of potential benefit to other exploratory search applications. 2020-03-24 /pmc/articles/PMC7148060/ http://dx.doi.org/10.1007/978-3-030-45442-5_62 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Pivovarova, Lidia
Jean-Caurant, Axel
Avikainen, Jari
Alnajjar, Khalid
Granroth-Wilding, Mark
Leppänen, Leo
Zosa, Elaine
Toivonen, Hannu
Personal Research Assistant for Online Exploration of Historical News
title Personal Research Assistant for Online Exploration of Historical News
title_full Personal Research Assistant for Online Exploration of Historical News
title_fullStr Personal Research Assistant for Online Exploration of Historical News
title_full_unstemmed Personal Research Assistant for Online Exploration of Historical News
title_short Personal Research Assistant for Online Exploration of Historical News
title_sort personal research assistant for online exploration of historical news
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148060/
http://dx.doi.org/10.1007/978-3-030-45442-5_62
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