Keyphrase Extraction
Keyphrase extraction analyses text to surface phrases that best summarise what a document is about.
Definition
Keyphrase extraction is the automated identification of important phrases within a document to represent its main topics.
Why It Matters
AI systems analyse sentence structure, term frequency, context, and semantic relevance to detect phrases that best summarise a text. These extracted keyphrases help surface high-value concepts quickly, especially in long or domain-specific content.
In practical workflows, keyphrase extraction supports information retrieval, terminology extraction, document indexing, and summarisation. It is also useful for preparing glossaries and improving discoverability in multilingual knowledge bases.
Related Terms
Knowledge Graph
A structured representation of entities and their relationships used by AI systems to organise and connect information.
Accountability in AI
Organisational responsibility for how AI systems function, make decisions, and impact users.
Algorithmic Bias
Systematic errors in AI outputs arising from skewed, imbalanced, or prejudiced training data.
API (Application Programming Interface)
A controlled interface enabling software systems to communicate and process requests, including translation queries.
API Key Security
Protection measures preventing unauthorised access or misuse of API credentials used to process translations.
Related Resources
Terminology Extraction
Automated or manual identification of key terms for project use.
File Parsing
Automated extraction of text and structure from formats such as DOCX, PDF, PPTX, or XLSX.
Knowledge Graph
A structured representation of entities and their relationships used by AI systems to organise and connect information.