Text analytics Definitions

  • A

    Ad Hoc Analysis

    Ad hoc analysis is a business intelligence (BI) process designed to answer a single, specific business question.

  • association rules (in data mining)

    Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases.

  • B

    big data analytics

    Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.

  • D

    data journalism

    Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories.

  • data sampling

    Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.

  • deep analytics

    Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data.

  • N

    named entity

    A named entity is a term or phrase that identifies an object from a set of other objects with similar attributes.

  • noisy text

    Noisy text is an electronically-stored communication that cannot be categorized properly by a text mining software program. Noisy text is often caused by an end user's excessive use of idiomatic expressions, abbreviations, chat and text acronyms or business-specific lingo.

  • P

    predictive analytics

    Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends.

  • S

    social analysis

    Social analysis is the practice of analyzing a situation or social problem through objective, systematic exploration.

  • T

    text mining (text analytics)

    Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.

  • U

    unstructured data

    Unstructured data is information, in many different forms, that doesn't hew to conventional data models and thus typically isn't a good fit for a mainstream relational database.

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