Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering

11 Aug 2018Di JiangYuanfeng SongRongzhong LianSiqi BaoJinhua PengHuang HeHua Wu

In the last decade, a variety of topic models have been proposed for text engineering. However, except Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA), most of existing topic models are seldom applied or considered in industrial scenarios... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.