发明名称 |
Conversation analysis of asynchronous decentralized media |
摘要 |
The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread. |
申请公布号 |
US9330422(B2) |
申请公布日期 |
2016.05.03 |
申请号 |
US201313833858 |
申请日期 |
2013.03.15 |
申请人 |
XEROX CORPORATION |
发明人 |
Bourdaillet Julien Jean Lucien;Peng Wei;Sun Tong;Szymanski Margaret Helen |
分类号 |
G06Q50/00;G06Q10/10;H04L29/06 |
主分类号 |
G06Q50/00 |
代理机构 |
Fay Sharpe LLP |
代理人 |
Fay Sharpe LLP |
主权项 |
1. A method for computing online metrics for customer relations management, comprising:
querying historical linguistic data sets of exchanges between customers and customer relations representatives over social media; extracting from the historical linguistic data sets conversations between said customers and said customer relations representatives; wherein extracting conversations uses a customer relations representative identifier and extracts all messages sent by said customer relations representative identifier or to said customer relations representative identifier; wherein said messages are grouped by a customer using a customer associated identifier; ordering chronologically a list of all said messages by said customer associated identifier; extracting from the list of all said messages groups of messages, wherein each group of messages is related to an individual subject; aggregating said groups of messages into pseudo synchronous conversations; separating each pseudo synchronous conversation of the pseudo synchronous conversations into one or more segments and associating one or more classes to each of the one or more segments; labeling each said segment in said each pseudo synchronous conversation according to a conversation analysis; and, labeling each said segment in said each pseudo synchronous conversation according to an engagement analysis. |
地址 |
Norwalk CT US |