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There has been an explosion in the availability of data in every domain these days. The average amount of daily data generated globally is in the hundreds of exabytes. It is an enormous amount of data by any standard, with a substantial contribution coming from the United States. This data is useful to government and businesses only when it is analyzed properly and ultimately results in actionable items. In this data-driven world, natural language processing, or NLP, is a recommended tool that supports businesses across various domains in analyzing text-based, structured, and unstructured data.

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Collecting and Extracting the Data for NLP Projects

  • 章节

  • 发表日期：

    2025年

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  • Shailendra Kadre,
  • Shailesh Kadre,
  • Subhendu Dey

摘要

There has been an explosion in the availability of data in every domain these days. The average amount of daily data generated globally is in the hundreds of exabytes. It is an enormous amount of data by any standard, with a substantial contribution coming from the United States. This data is useful to government and businesses only when it is analyzed properly and ultimately results in actionable items. In this data-driven world, natural language processing, or NLP, is a recommended tool that supports businesses across various domains in analyzing text-based, structured, and unstructured data.