Machine-learning techniques to determine automated conversational data

Abstract

A conversational branch data prediction system predicts conversational branch data that can be used in automated conversational services (e.g., 'chatbots'). The conversational branch data prediction system predicts the conversational branch data based on interactions with multiple sections across multiple webpages of a website, such as sections that include particular portions of text on webpages and omit additional portions of the text. For each section, the conversational branch data prediction system determines a vector embedding of text data in the section and a topic. Based on event metrics data, the conversational branch data prediction system identifies interactions with a particular subset of the sections having a particular topic. A trained machine-learning dialogue model identifies conversational text data correlated with vector embeddings associated with the particular subset of sections. The conversational branch data prediction system provides the identified conversational text data to an additional computing system.