Document Classification and Topic Extraction Resource (DoCTER), is a free web-based software application that helps explore and prioritize documents such as abstracts from the scientific literature. DoCTER uses two alternative approaches to automated document classification and prioritization: machine learning and supervised clustering. DoCTER also has a topic extraction or clustering function that helps identify the principal themes in a body of literature, making it easier for researchers to identify relevant studies based on predefined criteria.
Document Classification and Topic Extraction Resource (DoCTER), is a free web-based software application that helps explore and prioritize documents such as abstracts from the scientific literature. DoCTER uses two alternative approaches to automated document classification and prioritization: machine learning and supervised clustering. DoCTER also has a topic extraction or clustering function that helps identify the principal themes in a body of literature, making it easier for researchers to identify relevant studies based on predefined criteria.
