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1
A review on corpus annotation for arabic sentiment analysis
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2
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
Abstract: In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia, and any deviation from its targeted neutral point of view. We propose a methodology using sentiment analysis techniques to systematically extract the variations in sentiments associated with real-world entities in different language editions of Wikipedia, illustrated with a case study of five Wikipedia language editions and a set of target entities from four categories.
Keyword: AC Collections. Series. Collected works; P Philology. Linguistics; QA76 Electronic computers. Computer science. Computer software; ZA Information resources
URL: http://wrap.warwick.ac.uk/78604/1/WRAP_sac1135_.pdf
https://doi.org/10.1145/2851613.2851858
http://wrap.warwick.ac.uk/78604/
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3
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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4
Phrase-Level Word Embeddings
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