Text analytics and text mining

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  • Seeking treasure from social media tracking? Follow the customer

    Social media analytics tools can help companies dig into layers of online customer data in search of business gold. But a human touch is needed, too. 

  • SAS report offers Rx for companies lacking in analytical capabilities

    Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute. 

  • O'Reilly Strata conference tackles big topics in data science, Hadoop

    The O'Reilly Strata conference was the place to be to learn about the role of the data scientist and big data technologies. 

  • Insolvency firm Griffins speeds up fraud forensics with IBM analytics

    Insolvency and forensics firm Griffins is using IBM’s i2 analytics software to reduce the cost, time and complexity associated with fraud and forensic investigations for litigation 

  • data-driven disaster

    A data-driven disaster is a serious problem caused by one or more ineffective data analysis processes. 

  • General Architecture for Text Engineering (GATE)

    General Architecture for Text Engineering (GATE) is a development environment for writing software that can process human-language text. In particular, GATE is used for computational language processing and text mining. 

  • law of large numbers

    The law of large numbers is a principle of probability according to which the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances. As the number of experiments increases, the actual ratio of outcome... 

  • law of averages

    The law of averages is an erroneous generalization of the law of large numbers, which states that the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances. The law of averages is usually mentioned in... 

  • explicit data

    Explicit data is data that is provided intentionally and taken at face value rather than analyzed or interpreted for further meaning. Examples of explicit data include information provided in surveys and membership applications. 

  • implicit data

    Implicit data is information that is not provided intentionally but gathered from available data streams. Implicit data contrasts with explicit data, which is data that is provided intentionally, for example through surveys and membership registratio...