Entity Recognition with Knowledge Graphs and Relationship Extraction | InfraNodus скачать в хорошем качестве

Entity Recognition with Knowledge Graphs and Relationship Extraction | InfraNodus

Using https://infranodus.com you can perform entity recognition (NER) on any text or online discourse and extract the relations between them. These relations are then represented as an interactive knowledge graph which you can use to explore them further. For instance, you can identify the clusters of entities that tend to occur in the same context or click on several entities and explore relations between multiple concepts at once (using the original text or AI-generated interpretation). Timecodes: 0:00 Introduction 0:43 Creating a new graph 1:11 Turn on entity recognition 2:31 How the graphs are built: network analysis + metrics 3:07 Central entities vs peripheral entities 3:40 Identify main topical clusters (made from entities) 4:30 Exploring a cluster of relations or a single relationship 5:06 Tagging entities and exporting them to your favorite PKMs 6:05 Identifying the blind spots in a discourse 6:55 Using GPT AI to generate ideas based on those gaps 7:55 Compare different discourses: Google vs YouTube search results 11:12 Entity recognition in a research paper 12:33 Exploring relationships between concepts 13:13 Summarizing relations between two ideas Try it at https://infranodus.com