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Bringing structure to text
2014
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14
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 articles to social networks, enterprise logs, news articles, social media and general web pages. It is highly desirable but challenging to bring structure to unstructured text data, uncover underlying hierarchies, relationships, patterns and trends, and gain knowledge from such data. In this
doi:10.1145/2623330.2630804
dblp:conf/kdd/HanWE14
fatcat:wcq4brxwnvf4nkpiv5txqkdwuy