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Patent Noise Removal (Recommendation-based): Data Linker on ChatGPT. This is a rule-based patent noise removal system. The accuracy of this classification system is recorded as 57% precision and 98% recall. It excels at accurately classifying what is truly noise (recall), but has a higher probability of considering noise as valid patents (precision). In the first round of refinement, it demonstrates excellent performance, typically classifying around 100-200 out of 1,000 cases as noise. If you desire an extremely accurate service, please contact us via phone at 010-3365-0654 or email at ehdwns0654@naver.com.