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Verberne et al., 2014 - Google Patents

Automatic thematic classification of election manifestos

Verberne et al., 2014

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Document ID
8838645128863508581
Author
Verberne S
D’hondt E
Van den Bosch A
Marx M
Publication year
Publication venue
Information Processing & Management

External Links

Snippet

We digitized three years of Dutch election manifestos annotated by the Dutch political scientist Isaac Lipschits. We used these data to train a classifier that can automatically label new, unseen election manifestos with themes. Having the manifestos in a uniform XML …
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Classifications

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    • G06F17/30634Querying
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
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    • GPHYSICS
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