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- publication . Conference object . 2013Open Access EnglishAuthors:Kenter, T.; Graus, D.; Meij, E.; de Rijke, M.;Publisher: Microsoft ResearchProject: NWO | SPuDisc: Searching Public... (2300176811), EC | LIMOSINE (288024), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Building Rich Links to En... (2300153702), NWO | Modeling and Learning fro... (2300171779)
Document filtering over time is applied in tasks such as tracking topics in online news or social media. We consider it a classification task, where topics of interest correspond to classes, and the feature space consists of the words associated to each class. In stream...
- publication . Conference object . 2013Open Access EnglishAuthors:Reinanda, R.; Odijk, D.; de Rijke, M.;Publisher: Microsoft ResearchProject: EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | SPuDisc: Searching Public... (2300176811), NWO | Modeling and Learning fro... (2300171779), NWO | Building Rich Links to En... (2300153702), EC | LIMOSINE (288024)
We address the problem of entity-oriented search in the humanities and social sciences domain. We are particularly interested in retrieving entities related to a query entity and finding associations between these entities over time. Evidence from our target end users s...
- other research product . Other ORP type . 2013Open AccessAuthors:Reinanda, R.; Odijk, D.; de Rijke, M.;Publisher: TAIA '13Project: EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Modeling and Learning fro... (2300171779), NWO | SPuDisc: Searching Public... (2300176811), EC | LIMOSINE (288024), NWO | Building Rich Links to En... (2300153702)
- publication . Part of book or chapter of book . 2012Open Access EnglishAuthors:de Rijke, M.; Jijkoun, V.; Laan, F.; Weerkamp, W.; Ackermans, P.; Geleijnse, G.; Spyns, P.; Odijk, J.;Persistent Identifiers
handle: 11245/1.439213
Country: NetherlandsProject: EC | LIMOSINE (288024), NWO | Building Rich Links to En... (2300153702), NWO | DutchSemCor: 1 million te... (2300154091), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Content-based Literature ... (2300152116)In order to use a sentiment extraction system for a media analysis problem, a system would have to be able to determine which of the extracted sentiments are relevant, i.e., it would not only have to identify targets of extracted sentiments, but also decide which target...
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You have already added works in your ORCID record related to the merged research outcome. - other research productOpen Access EnglishAuthors:de Rijke, Maarten; Jijkoun, Valentin; Laan, Fons; Weerkamp, Wouter; Ackermans, Paul; Geleijnse, Gijs;Publisher: Springer Berlin HeidelbergProject: NWO | Content-based Literature ... (2300152116), NWO | DutchSemCor: 1 million te... (2300154091), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), EC | LIMOSINE (288024), NWO | Building Rich Links to En... (2300153702)