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Beyond LDA:Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
Beyond LDA Exploring Supervised Topic Modeling Depression-Related Language Twitter
2015/9/2
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
Labeled LDA supervised topic model credit attribution multi-labeled corpora
2015/6/12
A significant portion of the world’s text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages have multiple tags, but the...
Style & Topic Language Model Adaptation Using HMM-LDA.
Style & Topic Language Model Adaptation Using HMM-LDA
Style & Topic Language Model Adaptation HMM-LDA
2014/11/27
Adapting language models across styles and topics, such as for lecture transcription, involves combining generic style models with topic-specific content relevant to the target document. In this work,...