A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
ETM: Entity Topic Models for Mining Documents Associated with Entities
2012
2012 IEEE 12th International Conference on Data Mining
Topic models, which factor each document into different topics and represent each topic as a distribution of terms, have been widely and successfully used to better understand collections of text documents. However, documents are also associated with further information, such as the set of real-world entities mentioned in them. For example, news articles are usually related to several people, organizations, countries or locations. Since those associated entities carry rich information, it is
doi:10.1109/icdm.2012.107
dblp:conf/icdm/KimSHH12
fatcat:wve5vdi4s5cghf53frkbpcwv4e