1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: selecting a question from a post in a threaded discussion; automatically identifying an answer to the selected question from one or more crowd-based sources, wherein the identified answer has a confidence level greater than a threshold; revising the selected question based on a lexical answer type (LAT) of the selected question; building an answer key with the revised selected question and the identified answer; and automatically training a question answering (QA) system using the answer key.
4. The method of claim 1 wherein automatically identifying the answer further comprises: identifying one or more question keywords and a context in the selected question using natural language processing (NLP); mining a plurality of crowd sourced data sets for crowd sourced information, wherein the mining is based on the identified question keywords and context, and wherein the crowd sourced data sets have stored therein a collective opinion of a crowd of individuals; evaluating the mined crowd sourced information based on a social support attribute included in a crowd sourced metadata, wherein the evaluating results in a most likely answer that is scored based on the social support attribute; and identifying the answer as the resulting most likely answer.