Topic Chronicle Forest for Topic Discovery and Tracking

Kawamae, N

Kawamae, N (reprint author), Univ Tokyo, Tokyo, Japan.

WSDM'18: PROCEEDINGS OF THE ELEVENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2018; (): 315

Abstract

To ease the comprehension of existing time-stamped corpora, we extend topic models to handle both the specificity and temporality of topics; this is a......

Full Text Link