Discover the ideal AI workload for extracting key terms from insurance claim reports and generating summaries. Learn how natural language processing (NLP) can help you efficiently process and analyze text data.
Table of Contents
Question
You have been assigned a task to extract key terms from insurance claim reports, that are stored as text, and generate summaries. Which type of AI workload should you use?
A. natural language processing
B. anomaly detection
C. computer vision
D. conversational AI
Answer
A. natural language processing
Explanation
When faced with the task of extracting key terms from insurance claim reports stored as text and generating summaries, the most suitable AI workload is natural language processing (NLP). NLP is a branch of artificial intelligence that focuses on the interaction between computers and human language.
NLP techniques enable machines to understand, interpret, and manipulate human language in the form of text or speech. By utilizing NLP, you can:
- Extract key terms: NLP algorithms can identify and extract important words, phrases, or entities from the insurance claim reports, helping you to focus on the most relevant information.
- Analyze sentiment: NLP can determine the sentiment (positive, negative, or neutral) associated with the extracted key terms, providing valuable insights into the nature of the claims.
- Generate summaries: With the help of NLP techniques like text summarization, you can create concise summaries of the insurance claim reports, saving time and effort in understanding the essential details of each claim.
Other AI workloads mentioned in the options, such as anomaly detection, computer vision, and conversational AI, are not directly applicable to the given task of extracting key terms and generating summaries from text-based insurance claim reports. These workloads focus on different aspects of AI, such as identifying unusual patterns, analyzing visual data, or enabling human-like conversations, respectively.
In summary, natural language processing (NLP) is the most appropriate AI workload for extracting key terms from insurance claim reports and generating summaries, as it specializes in processing and analyzing textual data.
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