Semi-supervised and Transfer learning approaches for low resource sentiment classification
ICASSP, pp. 5109-5113, 2018.
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
Full Text (Upload PDF)
PPT (Upload PPT)