Article discusses how computers struggle to derive meaning and information from natural language documents and introduces the concept of knowledge graph. It explains the process of building a knowledge graph from text, including entity recognition and relation extraction. The article concludes by highlighting the potential of knowledge graphs in various domains and applications.
Table of contents
Knowledge Graph in NLPWhat is a Knowledge Graph?How to Build a Knowledge Graph from Text?Step 1: Importing LibrariesStep 2: Data Collection and PreprocessingStep 3: Named Entity Recognition (NER)Step 4: Extracting Relations between EntitiesStep 5: Creating a DataFrameStep 6: Building the Knowledge GraphStep 7: Visualizing the Knowledge GraphConclusionSort: