TM,Text Mining,text mined,text mine,text mines

Text Mining - TM
Publications: 4,465| Citation Count: 27,439
Stemming Variations: text mined, text mine, text mines
Cumulative Annual
    • Text Mining (TM) is a competitive statistical technology to extract relevant information from huge textual unstructured databases (document warehousing)...

    Sergio Bolascoet al. Some Insights into the Evolution of 1990s' Standard Italian Using Text...

    • Text mining is defined as knowledge discovery in large text collections. It detects interesting patterns such as clusters, associations, deviations, similarities, and differences in sets of texts. Current text mining methods use simplistic representations of text contents, such as keyword vectors, which imply serious limitations on the kind and meaningfulness of possible discoveries...

    Manuel Montes-y-gómezet al. Text Mining at Detail Level Using Conceptual Graphs

    • Text mining is defined as knowledge discovery in large text collections. It detects interesting patterns such as clusters, associations, deviations, similarities, and differences in sets of texts. Current text mining methods use simplistic representations of text contents, such as keyword vectors, which imply serious limitations on the kind and meaningfulness of possible discoveries...

    M. Monteset al. Text Mining at Detail Level using Conceptual Graphs

    • Text mining is an important research area in applied statistics. The present article addresses an important problem from the Bioinformatics field, viz. classification of protein sequences as soluble proteins and inclusion body forming proteins when over-expressed in Escherichia coli (E. coli), using text mining and machine learning techniques...

    Abhijit Kulkarniet al. Fuzzy pattern extraction for classification of protein sequences

    • Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden information from notstructured o semi-structured data. This aspect is fundamental because much of the Web information is semi-structured due to the nested structure of HTML code, much of the Web information is linked, much of the Web information is redundant. Web Text Mining helps whole knowledge mining process to mining, extraction and integration of useful data, information and knowledge from Web page contents...

    M. Castellanoet al. A Web Text Mining Flexible Architecture

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