Table of Contents
Question
Match the types of natural languages processing workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Workloads Types:
- Entity recognition
- Key phrase extraction
- Language modeling
- Sentiment analytics
- Natural language processing
- Translation
- Speech recognition and speech synthesis
Answer Area:
- Extracts persons, locations, and organizations from the text.
- Evaluates text along a positive-negative scale.
- Returns text translated to the specified target language.
Answer
Key phrase extraction: Extracts persons, locations, and organizations from the text.
Sentiment analysis: Evaluates text along a positive-negative scale.
Translation: Returns text translated to the specified target language.
Explanation
Box 1: Key phrase extraction: Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 2: Sentiment analysis: Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation:
Using Microsoft’s Translator text API
This versatile API from Microsoft can be used for the following:
Translate text from one language to another.
Transliterate text from one script to another.
Detecting language of the input text.
Find alternate translations to specific text.
Determine the sentence length.
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