Automatic Conversation Analysis

The core technical contribution of my research is in the area of automated analysis of conversational interactions (especially automation of the SouFLé framework described in the previous section) as well as analysis of the social aspects of text (i.e., perspective modeling, sentiment analysis, and opinion mining). I refer to work on these problems as social interpretation of language. Basic research contributions to the field of language technologies from my group’s work on these problems have been published in full and short papers at the field’s top conferences including ACL, EACL, EMNLP, and SIGDIAL. Applications of this work to the field of education have been published in the top conferences in learning sciences including ICLS and CSCL as well as top conferences in educational technology including AIED and ITS as well as the top journal in Computer Supported Collaborative Learning, namely ijCSCL.

You can read more about the findings from this strand of research here and impact here.

Carolyn Penstein Rose (cprose@cs.cmu.edu)/ Carnegie Mellon University