Which machine learning APIs should be used to gain meaning and sentiment from a speech? a) Cloud Natural Language API b) Cloud Vision API c) Cloud Speech-to-Text API d) Cloud Video Intelligence API
Question
Which machine learning APIs should be used to gain meaning and sentiment from a speech? a) Cloud Natural Language API b) Cloud Vision API c) Cloud Speech-to-Text API d) Cloud Video Intelligence API
Solution
To gain meaning and sentiment from a speech, you would likely need to use a combination of machine learning APIs. Here's a step-by-step guide:
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Cloud Speech-to-Text API: This API should be used first to convert the speech into text. It uses machine learning technology to recognize spoken words and convert them into written text.
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Cloud Natural Language API: After the speech has been converted into text, this API can be used to understand the sentiment and syntax of the text. It can analyze the text for sentiment, entities, and syntax to understand the overall meaning and emotion behind the speech.
So, the answer is a combination of c) Cloud Speech-to-Text API and a) Cloud Natural Language API.
The Cloud Vision API (b) is used for image analysis and the Cloud Video Intelligence API (d) is used for video analysis, so they would not be applicable in this case.
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