Learn how Azure Natural Language Processing (NLP) helps classify, tag, and summarize legal documents. Discover how Azure NLP can automate legal document classification, tagging, and summarization. Boost your AI-102 exam success with this guide!
Table of Contents
Question
You are an application developer at Nutex Inc. Your organization is a law firm that is digitizing its vast collection of legal documents. These documents include contracts, court judgments, and legal opinions. Your organization wants to automatically do the following using the Azure AI service:
- Classify documents.
- Tag documents with keywords.
- Enumerate related documents based on a selected topic.
- Summarize text by identifying the entities that are present in the document.
Which of the following Azure AI services should you choose to achieve the objective?
A. Generative AI Solution
B. Azure Machine Learning
C. Azure NLP
D. Azure compute service
Answer
C. Azure NLP
Explanation
To achieve the given requirements in this scenario, you would choose the Azure natural language processing (NLP) AI service. Azure NLP is part of Azure Cognitive Services and offers pre-built capabilities to understand and process natural language. You can use NLP to do the following:
- Classify documents: For instance, label documents as sensitive or spam.
- Facilitate further processing or searches: Use the output from NLP for these activities.
- Summarize text: Identify entities within a document to provide a summary.
- Tag documents with keywords: Generate keywords based on identified entities.
- Enable content-based search and retrieval: Utilize tagging to enhance this functionality.
- Summarize key topics: Combine identified entities into major topics.
- Categorize documents for easier navigation: Use detected topics to organize documents.
- Identify related documents based on a topic: Utilize detected topics to find related documents.
- Score text for sentiment analysis: Determine the positive or negative tone of a document.
You would not choose the Azure Machine Learning AI service in the given scenario. Azure Machine Learning is a cloud-based service for building, training, and deploying machine learning models. It provides a comprehensive platform for data scientists and developers to create custom machine-learning solutions. It is more suitable for developing custom machine learning (ML) models than providing out-of-the-box natural language processing capabilities necessary for document classification, keyword tagging, and text summarization.
You would not choose Azure compute in the given scenario. Azure compute services provide the infrastructure and resources to run applications and services on Azure. This includes virtual machines, containers, and other computing resources. It is focused on providing the computational power needed to run workloads.
You would not choose a generative AI solution in the given scenario. Generative AI solutions, such as those provided by OpenAI, are designed to generate text, images, and other content based on input data. These solutions can be used for creative content generation, language translation, and more. However, they are not focused on document classification, keyword tagging, related document enumeration, or entity recognition.
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