From the course: Data Science Foundations: Knowledge Graphs

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Text mining and machine learning

Text mining and machine learning

From the course: Data Science Foundations: Knowledge Graphs

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Text mining and machine learning

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- [Instructor] I would now like to give you an example of the use of knowledge graphs for text analysis, also called text mining. The Climate Tagger initiative aims to collect information and data about climate change, and to create a knowledge base from it. If you run a website in your country about a project that presents climate related information, you can load the Climate Tagger plug-in to your website. The semantic application now analyzes the unstructured text document and adds so-called tags or labels. Let's now look at an example. Let's assume you have written a text about a project, in the context of climate change, and published it on your website. Now you can provide this information to the Climate Tagger, and the semantics search function extracts important terms and correctly classifies the data contained in the document. For example, synonyms can also be analyzed for each technical term, and related concepts…

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