Descripción
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Opinion mining is a natural language analysis task aimed at obtaining the overall sentiment regarding a particular topic. This paper presents a prototype that presents the overall sentiment of a topic based on the geographical distribution of the sources on this topic. The prototype was developed in a single day during the hackathon organised by the OpeNER project in Amsterdam last year. The OpeNER infrastructure was used to process a large set of news articles in four different languages. Using these tools, an overall sentiment analysis was obtained for a set of topics mentioned in the news articles and presented on an interactive worldmap. | |
Internacional
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Si |
Nombre congreso
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Come Hack with OpeNER!? workshop at the 9th Language Resources and Evaluation Conference (LREC?14) |
Tipo de participación
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960 |
Lugar del congreso
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Reikiavik |
Revisores
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Si |
ISBN o ISSN
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978-2-9517408-8-4 |
DOI
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Fecha inicio congreso
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26/05/2014 |
Fecha fin congreso
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31/05/2014 |
Desde la página
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5 |
Hasta la página
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7 |
Título de las actas
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Proceedings of Come Hack with OpeNER!? workshop at the 9th Language Resources and Evaluation Conference (LREC?14) |