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  2. Volume (bibliography) - Wikipedia

    en.wikipedia.org/wiki/Volume_(bibliography)

    A volume is a physical book. It may be printed or handwritten. The term is commonly used to identify a single book that is part of a larger collection. Volumes are typically identified sequentially with Roman or Arabic numerals, e.g. "volume III" or "volume 3", commonly abbreviated to "Vol.". [1]

  3. Text (literary theory) - Wikipedia

    en.wikipedia.org/wiki/Text_(literary_theory)

    In literary theory, a text is any object that can be "read", whether this object is a work of literature, a street sign, an arrangement of buildings on a city block, or styles of clothing. [ citation needed ] It is a set of signs that is available to be reconstructed by a reader (or observer) if sufficient interpretants are available.

  4. Literary theory - Wikipedia

    en.wikipedia.org/wiki/Literary_theory

    Literary theory is the systematic study of the nature of literature and of the methods for literary analysis. [1] Since the 19th century, literary scholarship includes literary theory and considerations of intellectual history, moral philosophy, social philosophy, and interdisciplinary themes relevant to how people interpret meaning. [1]

  5. Volume analysis - Wikipedia

    en.wikipedia.org/wiki/Volume_Analysis

    Volume Analysis (also referred to as price–volume trend and volume oscillators) is an example of a type of technical analysis that examines the volume of traded securities to confirm and predict price trends.

  6. Text linguistics - Wikipedia

    en.wikipedia.org/wiki/Text_linguistics

    Text linguistics is a branch of linguistics that deals with texts as communication systems.Its original aims lay in uncovering and describing text grammars.The application of text linguistics has, however, evolved from this approach to a point in which text is viewed in much broader terms that go beyond a mere extension of traditional grammar towards an entire text.

  7. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data was originally associated with three key concepts: volume, variety, and velocity. [3] The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Thus a fourth concept, veracity, refers to the quality or insightfulness of the data. [4]

  8. Content analysis - Wikipedia

    en.wikipedia.org/wiki/Content_analysis

    Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [1]

  9. Text corpus - Wikipedia

    en.wikipedia.org/wiki/Text_corpus

    To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences) is a prerequisite for analysis. Machine translation algorithms for translating between two languages are often trained using parallel fragments comprising a first-language corpus and a second-language corpus, which is an element ...