How does searching with SCOUT work?

SCOUT is not only about exploring content. It allows you to perform comprehensive and accurate analytics like organization rankings, and display sophisticated data visualizations. In order for SCOUT to achieve that goal, we ask you to put in the little extra work and provide unambiguous queries with accurately defined scope.

Unambiguous queries. Your query should leave no room for interpretation. For example, when you enter the keyword “Apple” SCOUT needs to know whether you mean the fruit or the high-tech company. That is why you are presented with two separate search fields for topics and organizations to fill in.

Accurately defined scope. For example, in order to retrieve the best results related to the general field of “artificial intelligence”, we advise you to add relevant synonyms and highly relevant subtopics to your query, as well. You might wish to add the keywords “deep learning” or “machine learning” to your query. On the other hand, when you wish to retrieve insights on deep learning only - which is a proper subfield of artificial intelligence - you should be careful when using the keyword “artificial intelligence” since its scope is considerably broader.

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