Prompting Subject Matter Experts for Additional Detail Based on Historical Answer Ratings

摘要

An approach is provided for evaluating a potential post based on historical data. In the approach, historically highly rated attributes that to previously received highly rated posts are identified. The process receives a potential post from an online Subject Matter Expert (SME). The process analyzes the potential post, using a Natural Language Processing (NLP) routine performed by computer processors. The analysis identifies a lack of one or more of the historically highly rated attributes in the potential post. The process then notifies the SME, based on the analysis, regarding the lack of one or more of the historically highly rated attributes in the potential post.

主权项

1. A method, in an information handling system comprising a processor and a memory, of evaluating a potential post based on historical data, the method comprising:
identifying, using the processor, a plurality of historically highly rated attributes corresponding to a plurality of previously received highly rated posts; receiving, via a computer network, the potential post from an online Subject Matter Expert (SME); analyzing the potential post, using a Natural Language Processing (NLP) routine performed by the processor, wherein the analysis identifies a lack of one or more of the historically highly rated attributes in the potential post; and notifying, based on the analysis, the SME regarding the lack of one or more of the historically highly rated attributes in the potential post.