Abstract: A semantic messaging collaboration (SMC) system using simultaneous post, user and user-post interaction tagging. The system includes a natural language processing (NLP) engine, statistics engine, tag management engine and a story engine. The NLP engine is configured to: a) identify topics that appear in a select conversation b) analyze user expertise from available sources, and c) analyze posts with respect to sentiment. The statistics engine is configured to generate descriptive statistics from available system information on user-post interactions, as well as select outputs from NLP engine. The tag management engine generates and collates system tags.