Poster Open Access

NewsEye: A Digital Investigator for Historical Newspapers

Freyre, Elisabeth

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  <identifier identifierType="DOI">10.5281/zenodo.3876253</identifier>
      <creatorName>Freyre, Elisabeth</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-6700-6939</nameIdentifier>
      <affiliation>Bibliothèque nationale de France</affiliation>
    <title>NewsEye: A Digital Investigator for Historical Newspapers</title>
    <subject>Digital Humanities</subject>
    <subject>social science</subject>
    <date dateType="Issued">2020-06-04</date>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3876252</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The poster aims at presenting the activities of the project as well as the results produced during its two first years.&lt;/p&gt;

&lt;p&gt;NewsEye is a European research project advancing the state of the art and introducing new concepts, methods and tools for digital humanities by providing enhanced access to historical newspapers for a wide range of users. With the data, tools and methods created by NewsEye,&amp;nbsp;crucial user groups will be able to investigate views and perspectives on historical events and development and, as a consequence, the project will &lt;strong&gt;change the way European digital heritage data is (re)searched, accessed, used and analysed.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The project involves national libraries, humanities and social science research groups and computer science research groups. It addresses a number of challenges, which will result in significant scientific advances, in several directions:&lt;/p&gt;

	&lt;li&gt;in text recognition, text analysis, natural language processing, computational creativity and natural language generation, with regard to historical newspapers but also more broadly,&lt;/li&gt;
	&lt;li&gt;in digital newspaper research, addressing a number of editorial issues like OCR and article separation,&lt;/li&gt;
	&lt;li&gt;in digital humanities, in respect to huge amounts of text material, availability of useful tools and possibilities of searching and browsing,&lt;/li&gt;
	&lt;li&gt;in history, in terms of analysing historical assets with new methods across different language corpora.&lt;/li&gt;

&lt;p&gt;Funded by the European Union&amp;rsquo;s Horizon 2020 research and innovation programme, NewsEye is coordinated by the University of La Rochelle (France) and will last until May 2021.&lt;/p&gt;</description>
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