Papers by Aakash Trivedi
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews (2026.eacl-industry)
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| Challenge: | Existing approaches to extract actionable suggestions from customer reviews are often mixed-intent, unstructured text. |
| Approach: | They propose a hybrid pipeline that uses a RoBERTa classifier and a precision–recall surrogate to extract actionable suggestions from customer reviews. |
| Outcome: | The proposed pipeline outperforms prompt-only, rule-based, and classifier-only baselines in extraction accuracy and cluster coherence. |