![Bringing Structure to Text: Mining Phrases, Entity Concepts, Topics, and Hierarchies thumbnail](https://apiminio.videolectures.net/vln/lectures/21792/1/en/thumbnail.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=masoud%2F20250120%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250120T224156Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=678dcd29fbc4248dc18b26a61f44708348a5c0bf14db66213082e33424cc67f0)
Bringing Structure to Text: Mining Phrases, Entity Concepts, Topics, and Hierarchies
Published on Oct 09, 20149169 Views
Mining phrases, entity concepts, topics, and hierarchies from massive text corpus is an essential problem in the age of big data. Text data in electronic forms are ubiquitous, ranging from scientific