Domain Adaptation for Large-Scale Sentiment Classification ...

Domain Adaptation for Large-Scale Sentiment Classification :A deep learning ApproachXavier IRO, Universit e de Montr eal. Montr eal (QC), H3C 3J7, Canada(2)Heudiasyc, UMR CNRS 6599, Universit e de Technologie de Compi`egne, 60205 Compi`egne, FranceAbstractThe exponential increase in the availability ofonline reviews and recommendations makessentiment Classification an interesting topicin academic and industrial can span so many different domainsthat it is difficult to gather annotated train-ing data for all of them. Hence, this pa-per studies the problem of Domain adapta-tion for Sentiment classifiers, hereby a sys-tem is trained on labeled reviews from onesource Domain but is meant to be deployedon another. We propose a deep learning ap-proach which learns to extract a meaningfulrepresentation for each review in an unsuper-vised fashion.

Domain Adaptation for Sentiment Classi cation with Deep Learning Table 1. Amazon data statistics. This table depicts the number of training, testing and unlabeled examples for

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  Learning, Deep, Deep learning

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