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  2. Cultural analytics - Wikipedia

    en.wikipedia.org/wiki/Cultural_analytics

    Cultural analytics refers to the use of computational, visualization, and big data methods for the exploration of contemporary and historical cultures. While digital humanities research has focused on text data, cultural analytics has a particular focus on massive cultural data sets of visual material – both digitized visual artifacts and contemporary visual and interactive media.

  3. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  4. Text graph - Wikipedia

    en.wikipedia.org/wiki/Text_graph

    In natural language processing (NLP), a text graph is a graph representation of a text item (document, passage or sentence). It is typically created as a preprocessing step to support NLP tasks such as text condensation [ 1 ] term disambiguation [ 2 ] (topic-based) text summarization , [ 3 ] relation extraction [ 4 ] and textual entailment .

  5. Visual analytics - Wikipedia

    en.wikipedia.org/wiki/Visual_analytics

    Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." [2] It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable. [3]

  6. Visualization (graphics) - Wikipedia

    en.wikipedia.org/wiki/Visualization_(graphics)

    Data visualization is a related subcategory of visualization dealing with statistical graphics and geospatial data (as in thematic cartography) that is abstracted in schematic form. [ 7 ] Information visualization concentrates on the use of computer-supported tools to explore large amount of abstract data.

  7. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  8. Computational visualistics - Wikipedia

    en.wikipedia.org/wiki/Computational_visualistics

    In contrast, information visualization aims to depict various data types, especially those with non-visual components, using visual conventions such as color codes or icons. Fractal images, such as those of the Mandelbrot set, represent a borderline case in information visualization, where abstract mathematical properties are visualized.

  9. Computer-assisted qualitative data analysis software - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted...

    Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.