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Familia is an open-source toolkit for pragmatic topic modeling in industry.Familia abstracts the utilities of topic modeling in industry as two paradigms:semantic representation and semantic matching. Efficient implementations of thetwo paradigms are made publicly available for the first time. Furthermore, weprovide off-the-shelf topic models trained on large-scale industrial corpora,including Latent Dirichlet Allocation (LDA), SentenceLDA and Topical WordEmbedding (TWE). We further describe typical applications which aresuccessfully powered by topic modeling, in order to ease the confusions anddifficulties of software engineers during topic model selection andutilization.

Familia: An Open-Source Toolkit for Industrial Topic Modeling