Hello, who is calling? Canwords reveal the social nature of conversations?

Anthony Stark, Izhak Shafran, Jeffrey Kaye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This study aims to infer the social nature of conversations from their content automatically. To place this work in context, our motivation stems from the need to understand how social disengagement affects cognitive decline or depression among older adults. For this purpose, we collected a comprehensive and naturalistic corpus comprising of all the incoming and outgoing telephone calls from 10 subjects over the duration of a year. As a first step, we learned a binary classifier to filter out business related conversation, achieving an accuracy of about 85%. This classification task provides a convenient tool to probe the nature of telephone conversations. We evaluated the utility of openings and closing in differentiating personal calls, and find that empirical results on a large corpus do not support the hypotheses by Schegloff and Sacks that personal conversations are marked by unique closing structures. For classifying different types of social relationships such as family vs other, we investigated features related to language use (entropy), hand-crafted dictionary (LIWC) and topics learned using unsupervised latent Dirichlet models (LDA). Our results show that the posteriors over topics from LDA provide consistently higher accuracy (60-81%) compared to LIWC or language use features in distinguishing different types of conversations.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages112-119
Number of pages8
ISBN (Electronic)1937284204, 9781937284206
StatePublished - Jan 1 2012
Event2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2012 - Montreal, Canada
Duration: Jun 3 2012Jun 8 2012

Publication series

NameNAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Other

Other2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2012
CountryCanada
CityMontreal
Period6/3/126/8/12

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science Applications
  • Linguistics and Language

Fingerprint Dive into the research topics of 'Hello, who is calling? Canwords reveal the social nature of conversations?'. Together they form a unique fingerprint.

  • Cite this

    Stark, A., Shafran, I., & Kaye, J. (2012). Hello, who is calling? Canwords reveal the social nature of conversations? In NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 112-119). (NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference). Association for Computational Linguistics (ACL).