RecognizeEntities method of the Azure Text Analytics SDK is used to identify named entities such as locations, organizations, or other proper nouns in a given text. In this case, "London" and "Buckingham Palace" are recognized as proper nouns representing specific entities. Other words like "tour" and "visit" are not named entities and will not be returned by this method.
A for sure
Key words:
London
Buckingham Palace
The actual output may vary based on the implementation and configuration of the TextAnalyticsClient. For instance, it might also detect additional entities like “tour” or categorize “London” as a Location and “Buckingham Palace” as an Organization.
The function GetKeyWords uses a TextAnalyticsClient to analyze the provided text and extract key entities. Here’s what the function does step-by-step:
1. Recognize Entities:
It calls textAnalyticsClient.RecognizeEntities(text) to process the input text and identify named entities such as places, organizations, dates, and more.
2. Output Keywords:
It iterates over the recognized entities (response.Value) and writes each entity’s text to the console.
The correct answer is A. London and Buckingham Palace only.
Explanation:
In this function, the RecognizeEntities method of the TextAnalyticsClient is used to extract named entities from the provided text. Named entities typically include proper nouns such as names of places, people, and organizations. In the provided string, "Our tour of London included a visit to Buckingham Palace", the named entities that would be recognized are "London" and "Buckingham Palace", as these are specific locations.
Other words like "tour" and "visit" are common nouns and are unlikely to be identified as entities in this context by RecognizeEntities.
Therefore, the function will return "London" and "Buckingham Palace" only.
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