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  2. Voyant Tools - Wikipedia

    en.wikipedia.org/wiki/Voyant_Tools

    Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public.

  3. Content analysis - Wikipedia

    en.wikipedia.org/wiki/Content_analysis

    The simplest and most objective form of content analysis considers unambiguous characteristics of the text such as word frequencies, the page area taken by a newspaper column, or the duration of a radio or television program. Analysis of simple word frequencies is limited because the meaning of a word depends on surrounding text.

  4. Text Analysis Portal for Research - Wikipedia

    en.wikipedia.org/wiki/Text_Analysis_Portal_for...

    TAPoR (Text Analysis Portal for Research) is a gateway that highlights tools and code snippets usable for textual criticism of all types. The project is housed at the University of Alberta , and is currently led by Geoffrey Rockwell, Stéfan Sinclair, Kirsten C. Uszkalo, and Milena Radzikowska.

  5. Schaffer method - Wikipedia

    en.wikipedia.org/wiki/Schaffer_method

    The Jane Schaffer method is a formula for essay writing that is taught in some U.S. middle schools and high schools.Developed by a San Diego teacher named Jane Schaffer, who started offering training and a 45-day curriculum in 1995, it is intended to help students who struggle with structuring essays by providing a framework.

  6. Online content analysis - Wikipedia

    en.wikipedia.org/wiki/Online_content_analysis

    A useful step is to archive the sample content in order to prevent changes from being made. Online content is also non-linear. Printed text has clearly delineated boundaries that can be used to identify context units (e.g., a newspaper article). The bounds of online content to be used in a sample are less easily defined.

  7. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...