Papers with sentiment analysis approaches

2 papers
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis (2020.acl-main)

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Challenge: sentiment knowledge is ignored in sentiment analysis, despite its use in pretraining.
Approach: They propose to use sentiment knowledge to learn a unified sentiment representation for multiple sentiment analysis tasks.
Outcome: The proposed method outperforms strong pre-training baseline on three kinds of sentiment tasks.
SLIDE - a Sentiment Lexicon of Common Idioms (L18-1)

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Challenge: Compositional solutions for phrase sentiment are not able to handle idioms because their sentiment is not derived from the sentiment of the individual words.
Approach: They propose a crowdsourcing approach for collecting sentiment annotations of idiomatic expressions using crowdsourcing.
Outcome: The proposed approach is able to capture sentiment strength and ambiguity in idiomatic expressions using crowdsourcing.

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