Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons (2021.eacl-main)
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| Challenge: | Existing sentiment lexicons assume words’ sentiments are invariant within a domain, but this assumption is weak for fine-granularity analyses of text sentiments. |
| Approach: | They propose a "perturb-and-see" method to extract commonsense sentiments from large-scale datasets by binding a word's sentiment to its collocation words instead of domain labels. |
| Outcome: | The proposed framework is able to achieve highly competitive performances on the unsupervised opinion relation extraction task. |
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If you’ve got it, flaunt it: Making the most of fine-grained sentiment annotations (2021.eacl-main)
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Classifier-based Polarity Propagation in a WordNet (L18-1)
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| Challenge: | a wordnet-based sentiment lexicon can be built to express sentiment polarity in a way shared across domains. |
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