Probabilistic Topic Models for Text Data Retrieval and Analysis

ChengXiang Zhai. Probabilistic Topic Models for Text Data Retrieval and Analysis. In Noriko Kando, Tetsuya Sakai, Hideo Joho, Hang Li, Arjen P. de Vries, Ryen W. White, editors, Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017. pages 1399-1401, ACM, 2017. [doi]

Abstract

Abstract is missing.