Diffbot's Knowledge Graph is designed to deliver comprehensive search capabilities, allowing users to conduct complex queries over extensive data sources using a simple API. The author shares their experience utilizing the visual search tool to build DQL queries, especially focusing on obtaining news articles about their product, Xbox. By selecting entity types and applying filters strategically (such as language), they realize enhanced search results. The emphasis on using the tags.label filter demonstrates a method to achieve more accurate and relevant data, showcasing the practical benefits of Diffbot's technology for automated news analysis.
Diffbot's Knowledge Graph offers a search tool emphasizing data and relations, allowing users to perform complex queries against billions of data points instantly via a simple API.
I utilized Diffbot's visual search tool to build DQL statements, selecting 'Article' as the entity type to find negative news regarding my product.
Using tags.label in my queries provided a more precise result compared to text-based searches, ensuring I found articles specifically focused on 'XBox'.
The process of filtering query results by language ensured I only received relevant articles in English, enhancing the overall effectiveness of my research.
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