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1
Building and evaluating resources for sentiment analysis in the Greek language [<Journal>]
Tsakalidis, Adam [Verfasser]; Papadopoulos, Symeon [Sonstige]; Voskaki, Rania [Sonstige].
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2
Building and evaluating resources for sentiment analysis in the Greek language
Tsakalidis, Adam; Papadopoulos, Symeon; Voskaki, Rania. - : Springer Netherlands, 2018
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3
Building and evaluating resources for sentiment analysis in the Greek language
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4
Cognitive agents and machine learning by example : representation with conceptual graphs
Gkiokas, Alexandros; Cristea, Alexandra I.. - : Wiley-Blackwell Publishing Ltd., 2018
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5
What’s new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval
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6
What's new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval
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7
A review on corpus annotation for arabic sentiment analysis
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8
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
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9
Towards detection of influential sentences affecting reputation in Wikipedia
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10
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
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11
Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications
Zhou, Yiwei; Demidova, Elena; Cristea, Alexandra I.. - : Springer International Publishing, 2016
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12
Combining heterogeneous user generated data to sense well-being
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13
Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications
Zhou, Yiwei [Verfasser]; Demidova, Elena [Verfasser]; Cristea, Alexandra I. [Verfasser]. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2015
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14
Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications ...
Zhou, Yiwei; Demidova, Elena; Cristea, Alexandra I.. - : Heidelberg : Springer Verlag, 2015
Abstract: Representation of influential entities, such as famous people and multinational corporations, on the Web can vary across languages, reflecting language-specific entity aspects as well as divergent views on these entities in different communities. A systematic analysis of languagespecific entity contexts can provide a better overview of the existing aspects and support entity-centric retrieval applications over multilingual Web data. An important source of cross-lingual information about influential entities is Wikipedia — an online community-created encyclopaedia — containing more than 280 language editions. In this paper we focus on the extraction and analysis of the language-specific entity contexts from different Wikipedia language editions over multilingual data. We discuss alternative ways such contexts can be built, including graph-based and article-based contexts. Furthermore, we analyse the similarities and the differences in these contexts in a case study including 80 entities and five Wikipedia ...
Keyword: Arches; Computational linguistics; Cross-lingual information; Dewey Decimal Classification000 | Allgemeines, Wissenschaft000 | Informatik, Wissen, Systeme004 | Informatik; Entity contexts; Graph-based; Graphic methods; Multi-national corporations; On-line communities; Retrieval applications; Search engines; Semantics; Support entities; Systematic analysis; Websites
URL: https://www.repo.uni-hannover.de/handle/123456789/3818
https://dx.doi.org/10.15488/3784
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15
WarwickDCS : from phrase-based to target-specific sentiment recognition
Tsakalidis, Adam; Liakata, M.; Zubiaga, Arkaitz. - : Association for Computational Linguistics, 2015
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16
Phrase-Level Word Embeddings
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17
Automatic and manual annotation using flexible schemas for adaptation on the semantic desktop
Cristea, Alexandra I.; Hendrix, M.; Nejdl, W.. - : Springer Berlin Heidelberg, 2006
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