Article

A Simple Weakly-Supervised Contrastive Learning Framework for Few-shot Sentiment Classification

2023-03-21

Abstract excerpt

Most existing deep learning-based sentiment classification methods need large human-annotated data, but labeling large amounts of high-quality emotional texts is labor-intensive. Users on various social platforms generate massive amounts of tagged opinionated text (e.g., tweets, customer reviews), providing a new resource for training deep models. However, some of the tagged instances have sentiment tags that are...

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Literature Corpus work: 3380a6d9-4247-5bc5-b0fb-fa3ed4cdd84c
DOI: 10.21203/rs.3.rs-2699220/v1

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