Your company plans to monitor twitter hashtags, and then to build a graph of connected people and places that contains the associated sentiment.
The monitored hashtags use several languages, but the graph will be displayed in English.
You need to recommend the required Azure Cognitive Services endpoints for the planned graph.
Which Cognitive Services endpoints should you recommend?
A. Language Detection, Content Moderator, and Key Phrase Extraction
B. Translator Text, Content Moderator, and Key Phrase Extraction
C. Language Detection, Sentiment Analysis, and Key Phase Extraction
D. Translator Text, Sentiment Analysis, and Named Entity Recognition
Correct Answer: C
Explanation/Reference:
Explanation:
Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea.
Translator Text: Translate text in real time across more than 60 languages, powered by the latest innovations in machine translation.
The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases. This skill uses the machine learning models provided by Text Analytics in Cognitive Services.
This capability is useful if you need to quickly identify the main talking points in the record. For example, given input text “The food was delicious and there were wonderful staff”, the service returns “food” and “wonderful staff”.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases
