Papers with LLM-based opinion mining
Can Large Language Models be Effective Online Opinion Miners? (2025.emnlp-main)
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| Challenge: | OOMB is a novel benchmark designed to assess the ability of large language models (LLMs) to extract and analyze opinions from diverse and complex online environments. |
| Approach: | They propose an online opinion mining benchmark to assess the ability of large language models to extract and analyze opinions from diverse online environments. |
| Outcome: | The proposed benchmark assesses the ability of large language models to mine opinions effectively from diverse and complex online environments. |