How can an NLP API assist in incident response?
An NLP API can analyze incident reports, extract key information, and categorize incidents for faster response.
Can it help in prioritizing incidents based on severity?
Yes, it can assess the language used in reports to determine urgency and prioritize incidents accordingly.
What kind of data does it need to function effectively?
It typically requires historical incident data, keywords, and context to train the model for accurate analysis.
Are there any specific NLP tools you recommend for this purpose?
Some popular tools include SpaCy, NLTK, and commercial APIs like Google Cloud Natural Language.
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