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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
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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
WarwickDCS : from phrase-based to target-specific sentiment recognition
Abstract: We present and evaluate several hybrid systems for sentiment identification for Twitter, both at the phrase and document (tweet) level. Our approach has been to use a novel combination of lexica, traditional NLP and deep learning features. We also analyse techniques based on syntactic parsing and tokenbased association to handle topic specific sentiment in subtask C. Our strategy has been to identify subphrases relevant to the designated topic/target and assign sentiment according to our subtask A classifier. Our submitted subtask A classifier ranked fourth in the SemEval official results while our BASELINE and µPARSE classifiers for subtask C would have ranked second.
Keyword: HM Sociology; QA76 Electronic computers. Computer science. Computer software
URL: http://wrap.warwick.ac.uk/71340/
http://wrap.warwick.ac.uk/71340/7/WRAP_Townsend_WarwickDCS_s15-2110.pdf
https://doi.org/10.18653/v1/S15-2110
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5
Phrase-Level Word Embeddings
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6
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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