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Evaluation-Methods-for-Topic-Models
Evaluation-Methods-for-Topic-Models PublicPython implementations of some the algorithms in the paper: Evaluation Methods for Topic Models (Wallach et al.)
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ClusteringLDA
ClusteringLDA PublicClusteringLDA has code to cluster topic distributions, to run LDA and to compute perplexity. The LDA code comes from Hannah Wallach's LDA development.
Java 1
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TopicOracle
TopicOracle PublicThis shiny app visualises and compares topics across time variables such as months, day of the week and hours.
R
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TopicGeographer
TopicGeographer PublicThis app visualises, maps and compares topic distributions across geographical areas such as regions, local authorities and middle-layer super output areas! :). This app uses fictitious random data…
R
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STM-SeqSTM
STM-SeqSTM PublicSTM-SeqSTM has code to run Lan Du's STM, seqSTM and compute perplexity. This code is still under construction.
Java
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