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Extracting Meaning From Text With OpenCalais R3: Formally-Structured Text That Is Published Can Be Summarized and Combined With Other Text to Provide New Insights

Category: Data Management, Software and Web Development

Tags: data

Overview A big challenge companies face today is that most information, both online and archived, is only available as published text and does not contain any formal structure suitable for synthesizing. In a formal structure, information can be summarized, used to help locate meaningful text, and combined with other text to provide new insights. This paper shows how to convert unstructured written text into structured data using OpenCalais, which is a public general-purpose text-extraction service that uses a combination of statistical and grammatical analysis to extract meaning. OpenCalais is not the only solution available for extracting meaning from text, but it is the only publicly available web service.

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Publisher: Jupitermedia
File Format: HTML
Date Published: Nov 30, 2008
Format: White Papers
Topics: Data Acquisition - ETL, Programming Languages

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