Semi-supervised and Transfer learning approaches for low resource sentiment classification

ICASSP, pp. 5109-5113, 2018.

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Abstract:

Sentiment classification involves quantifying the affective reaction of a human to a document, media item or an event. Although researchers have investigated several methods to reliably infer sentiment from lexical, speech and body language cues, training a model with a small set of labeled datasets is still a challenge. For instance, in ...More

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