Use the YouTube data set to filter the metadata of the YouTube videos according to the keywords that you specify. First, create a YouTube data set to connect with the YouTube Data API. Next, reference the data set from a data flow and use the Text Analyzer rule to analyze the metadata of the YouTube videos.
Before you begin: Before you create a YouTube data set, obtain a Google API key
from the Google developers website. This key is necessary to configure the YouTube data set
and access the YouTube data.
CAUTION:
Do not reference one instance of the YouTube data set in multiple data
flows. Stopping one of such data flows, stops the YouTube data set in the other data
flows.
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In Dev Studio, click .
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Enter the data set label and identifier.
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From the Type list, select YouTube.
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Specify the ruleset, Applies-to class, and ruleset version of the data set.
Note: The Applies-to class for YouTube data sets must always be
Data-Social-YouTube.
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Click Create and open.
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On the YouTube tab, enter the Google API
key.
- Optional:
Select the Retrieve video URL check box to retrieve the URL of a
YouTube video if the metadata of the video contains the keywords that you specify.
- Optional:
Select the Retrieve comments check box to retrieve all users’
comments about a YouTube video whose metadata contains the keywords that you
specify.
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In the Keywords section, click Add keyword, and enter one or
more keywords that you want to find in the video metadata.
The system performs text analysis on the metadata that contains the keywords.
- Optional:
In the Ignore section, click Add author, and type the user names
whose videos you want to ignore.
Note: See the YouTube Data API documentation for information about limitations when
specifying keywords and authors.
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Click Save.