Welcome to the General Inquirer Home Page.We mourn the loss of Philip Stone who died on January 31st, 2006, and we dedicate the continuation of this site to his memory. Established as the home website for the General Inquirer, a computer-assisted approach for content analyses of textual data, the site is designed to be a resource for learning about the Inquirer as well as a reference in using the Inquirer. For a copy of the "Strengths Compared" powerpoint presented at the Positive Psychology Conference, click here for the web version and here for the power point file to download. A note on email contact. You may contact Roger Hurwitz with questions about access to the General Inquirer (rhhu@csail.mit.edu) Demonstration AccessThe NSF-Sponsored "WebUse" project at the University of Maryland, developed by John Robinson and his staff, provides an opportunity to try out the General Inquirer on text you supply. THIS IS A DEMO SITE, FOR USE WITH SHORT AMOUNTS OF TEXT. We received numerous emails about the site being down, but it was back up when last checked. Link to it at: http://www.webuse.umd.edu. The Inquirer is listed under "Resources" at the left of this page. You can type or paste text into the box and obtain different levels of feedback, depending on the checks you make below the box. Server AccessFor serious amounts of text processing, the General Inquirer is now
available on a server, so
users no longer have to download the system to their own computers.
The rationale for using a server-bsed Inquirer was presented intially a blog which is no longer available. We have extracted the major article from the blog here for your reference. Development HistoryGeneral Inquirer development has been supported by grants from the USA National Science Foundation and Research Grant Councils of Great Britainand Australia. Until the mid-1990's, it only operated on large mainframe IBM computers that supported the PL/1 programming language. However with its reprogramming supported by the Gallup Organization, first in TrueBasic by Philip Stone and then in Java by Vanja Buvac, the system now provides English-language content analysis capabilities using both the "Harvard" and "Lasswell" general-purpose dictionaries as well as any dictionary categories developed by the user. With today's PC's or Macs, the system, including its disambiguation routines for high-frequency English homographs, usually processes text files on the order of a million words an hour. However, it is not packaged to be commercially available, nor do we intend to commit ourselves to providing the support services such availability would require. For the last several years, we have made the system available for academic research purposes. In addition to a seminar at Harvard, workshops with laboratories have been taught at Essex University (as part of the European Social Science Consortium program) and at a large Cologne sociology conference on research methods. Our Java software (which operates on PC, Mac, Unix or Linux, including the Mac's OSX Terminal), together with dictionaries, and disambiguation rules, can be downloaded as a zipped file. Perhaps the Inquirer users don't want to bother us, but none of those who have used the system have reported any software-caused crashes or other difficulties. The Inquirer runs on any recent-vintage PC or Mac computer, using less RAM than current versions of MS Word. To obtain a copy for academic purposes, please email us from your "edu" address. Please comply carefully with the terms of use in the short "license" section of the documentation that comes the the download, including the request not to distribute the General Inquirer on your own. And please send us copies of any reports or publications stemming from the use of the system. The Java software has been augmented with an optional "word" output in which counts are provided for each word and word sense match (after any necessary suffix removals) in the combined Harvard/Lasswell dictionaries, as well as the frequency of every unmatched "leftover" word appearing in the texts that is not in these dictionaries. The output matrix can be large, with rows for every word and word sense appearing in the text, followed by rows for leftover words, with a column of raw counts for each text file processed. However, this can be very useful for drilling down further on your data, revising and expanding categories, and new category development. Introductory MaterialsFor an excellent general introduction to content analysis, we highly recommend "The Content Analysis Guidebook" by Kimberly Neuendorf, published a year ago by Sage Publications. While we continue to think of content analysis as a "mapping" operation, rather than the "summarizing" operation she describes, we generally agree with her point of view and appreciate her thoughtful treatment of many topics regarding content analysis. For access to the on-line site for this book, click here. This website is divided into several sections, giving both information about the Inquirer and pointers to other systems. Our website pages include links to the first hundred words of each category in both the Harvard and Lasswell dictionaries.
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