Text analytics spans across virtually all verticals. We frequently come across text analytics use cases in finance, insurance, media, and retail industries, but even oil and gas companies can derive value from text analytics. The table on the right outlines verticals and their most frequent text analytics use-cases. Next, we will describe some of these verticals and use-cases in more detail.
https://blog.pivotal.io/data-science-pivotal/features/text-analytics-and-natural-language-processing-in-the-era-of-big-data
3 Key Capabilities Necessary
- Performing In-Database Text Analytics
- Running Text Analytics on Apache Hadoop
- Using Other Open Source Tools
The table above illustrates a few examples for the following common NLP tasks.
Examples of these approaches will be covered in future technical blogs.
https://blog.pivotal.io/data-science-pivotal/products/3-key-capabilities-necessary-for-text-analytics-natural-language-processing-in-the-era-of-big-data
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