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Automating and Responding to Sentiment Analysis with Diffbot's Knowledge Graph
- Diffbot's Knowledge Graph enables users to access vast amounts of knowledge through data and relations-oriented searches via a simple API.
- The article discusses the author's experience in using Diffbot's API to automate news analysis for a product.
- The process starts with designing a query through Diffbot's visual search tool for Knowledge Graph, where entity type, filters, and sorting options are defined.
- The query is crafted to find negative articles about 'Xbox' with a sentiment score lower than or equal to 0, in English, and posted after a specified date.
- The author then proceeds to write code to interact with the Knowledge Graph API, fetching and displaying relevant news articles based on the query.
- Dynamic date generation is implemented to ensure the query captures results from the past week.
- Subsequently, the author delves into automating the process using Pipedream, setting up a workflow to run the analysis weekly and send results via email.
- The automation involves fetching articles, checking for results, formatting the output for readability, and sending the final report via email.
- The article concludes with a summary of the automated process and invites readers to explore further possibilities with Diffbot's Knowledge Graph API.
- Overall, the article provides insights into leveraging AI tools like Diffbot's Knowledge Graph for sentiment analysis and automation.
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