Primer NLP Engines are pre-trained models that can be used to read and summarize large amounts of text, picking out key concepts, recognizing people who may be mentioned in the document, and finding patterns or structures which could otherwise go unnoticed. For example, a financial company might use a Primer Engine to scan through 10K regulatory filings looking for companies with increased competitive risk exposure in China. Additionally, an intelligence agency could use the model to identify existing quotes from foreign officials and run sentiment analysis on them – analyzing those quotes to determine if they express positive or negative opinions. Primer offers pre-trained engines as well as custom training services so their models may be tailored to fit specific tasks or data sets.

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