A noun phrase analysis tool for mining online community conversations

Caroline Haythornthwaite, Anatoliy Gruzd

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

6 Scopus citations

Abstract

Online communities are creating a growing legacy of texts in online bulletin board postings, chat, blogs, etc . These texts record conversation, knowledge exchange, and variation in focus as groups grow, mature, and decline; they represent a rich history of group interaction and an opportunity to explore the purpose and development of online communities. However, the quantity of data created by these communities is vast, and to address their processes in a timely manner requires automated processes. This raises questions about how to conduct automated analyses, and what can we gain from them: Can we gain an idea of community interests, priorities, and operation from automated examinations of texts of postings and patterns of posting behavior? Can we mine stored texts to discover patterns of language and interaction that characterize a community?

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd Communities and Technologies Conference, C and T 2007
Pages67-86
Number of pages20
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event3rd International Conference on Communities and Technologies, C and T 2007 - East Lansing, MI, United States
Duration: Jun 28 2007Jun 30 2007

Publication series

NameProceedings of the 3rd Communities and Technologies Conference, C and T 2007

Other

Other3rd International Conference on Communities and Technologies, C and T 2007
CountryUnited States
CityEast Lansing, MI
Period6/28/076/30/07

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Haythornthwaite, C., & Gruzd, A. (2007). A noun phrase analysis tool for mining online community conversations. In Proceedings of the 3rd Communities and Technologies Conference, C and T 2007 (pp. 67-86). (Proceedings of the 3rd Communities and Technologies Conference, C and T 2007). https://doi.org/10.1007/978-1-84628-905-7_4