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  2. 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 ...

  3. List of text mining software - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_software

    Orange with its text mining add-on. The PLOS Text Mining Collection. [3] The programming language R provides a framework for text mining applications in the package tm. [4] The Natural Language Processing task view contains tm and other text mining library packages. [5] spaCy – open-source Natural Language Processing library for Python

  4. List of text mining methods - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_methods

    Different text mining methods are used based on their suitability for a data set. Text mining is the process of extracting data from unstructured text and finding patterns or relations. Below is a list of text mining methodologies. Centroid-based Clustering: Unsupervised learning method. Clusters are determined based on data points. [1]

  5. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    LIONsolver: an integrated software application for data mining, business intelligence, and modeling that implements the Learning and Intelligent OptimizatioN (LION) approach. PolyAnalyst: data and text mining software by Megaputer Intelligence. Microsoft Analysis Services: data mining software provided by Microsoft.

  6. 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.

  7. Biomedical text mining - Wikipedia

    en.wikipedia.org/wiki/Biomedical_text_mining

    A text mining study assembled a collection of 709 core extracellular matrix proteins and associated proteins based on two databases: MatrixDB (matrixdb.univ-lyon1.fr) and UniProt. This set of proteins had a manageable size and a rich body of associated information, making it a suitable for the application of text mining tools.

  8. Technology mining - Wikipedia

    en.wikipedia.org/wiki/Technology_mining

    Tech mining or technology mining refers to applying text mining methods to technical documents. For patent analysis purposes, it is named ‘patent mining’.Porter, as one of the pioneers in technology mining, defined ‘tech mining’ in his book [1] as follows: “the application of text mining tools to science and technology information, informed by understanding of technological ...

  9. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    IBM SPSS Modeler is a data mining and text analytics software application from IBM.It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.