Selective topics guidance in in-person conversations

摘要

Social data of a conversation partner is analyzed who is physically situated relative to a user to have an in-person conversation with the user. From the analysis, a list of topics and a sentiment corresponding to each topic on the list of topics are computed. An evaluation is made that a first value of a first sentiment corresponding to a first topic in the list of topics exceeds a threshold. The user is provided a notification about the first topic and the first sentiment, causing the user to discuss the first topic with the partner in the in-person conversation. When a second topic has a second sentiment below the threshold, the user is caused to drop the second topic from the in-person conversation.