Abstract: Systems and methods herein provide for understanding the context of multiple conversation events and accurately linking them together. Such may allow for fewer financial transaction opportunities to be missed and enable sell side institutions to book more trades. In one embodiment, a method of classifying financial transaction messages with a trained machine learning model includes identifying entities in a financial transaction message, identifying subsequent passages relating to the financial transaction message, and classifying intent as valid or invalid in the financial transaction message. The method also includes linking events within a specific thread by sequentially processing the passages of the financial transaction message.