Title: The general inquirer: A computer system for content analysis and retrieval based on the sentence as a unit of information
Abstract: Behavioral ScienceVolume 7, Issue 4 p. 484-498 Computers in Behavioral Science The general inquirer: A computer system for content analysis and retrieval based on the sentence as a unit of information Philip J. Stone, Philip J. Stone Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorRobert F. Bales, Robert F. Bales Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorJ. Zvi Namenwirth, J. Zvi Namenwirth Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorDaniel M. Ogilvie, Daniel M. Ogilvie Laboratory of Social Relations, Harvard UniversitySearch for more papers by this author Philip J. Stone, Philip J. Stone Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorRobert F. Bales, Robert F. Bales Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorJ. Zvi Namenwirth, J. Zvi Namenwirth Laboratory of Social Relations, Harvard UniversitySearch for more papers by this authorDaniel M. Ogilvie, Daniel M. Ogilvie Laboratory of Social Relations, Harvard UniversitySearch for more papers by this author First published: October 1962 https://doi.org/10.1002/bs.3830070412Citations: 109AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume7, Issue4October 1962Pages 484-498 RelatedInformation
Publication Year: 2007
Publication Date: 2007-01-17
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 207
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