Discover the remarkable capabilities of the Text Analytics service, enabling language identification, signature detection in documents, and accurate recognition of companies and organizations mentioned within text. Explore the potential of text analytics technology in automating language processing tasks and extracting valuable insights from unstructured data. Stay ahead with cutting-edge natural language processing solutions.
Table of Contents
Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: The Text Analytics service can identify in which language text is written.
Statement 2: The Text Analytics service can detect handwritten signatures in a document.
Statement 3: The Text Analytics service can identify companies and organizations mentioned in a document.
Answer
Statement 1: Yes
Statement 2: No
Statement 3: Yes
Explanation
Statement 1: Yes. The Text Analytics service can identify in which language text is written. This is one of the features of the service, which is called language detection. Language detection can detect the language and script of a given text input and report a single language code for every document submitted on the request. The service can detect up to 120 languages, dialects, and scripts.
Statement 2: No. The Text Analytics service cannot detect handwritten signatures in a document. This is not one of the features of the service, which is focused on natural language processing (NLP) tasks. To detect handwritten signatures in a document, a different service, such as Form Recognizer or Computer Vision, would be more suitable. Form Recognizer can extract text and data from forms and documents, including handwritten ones. Computer Vision can analyze and understand the content of images and videos, including handwriting recognition.
Statement 3: Yes. The Text Analytics service can identify companies and organizations mentioned in a document. This is one of the features of the service, which is called named entity recognition (NER). NER can extract and label named entities from a text with links to a well-known knowledge base. The service can recognize various types of entities, such as person, location, organization, date, time, quantity, and more. Companies and organizations are examples of the organization entity type.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
