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topicMap

Exploratory topic modeling with distributional semantics and interactive visualization

By: Samuel Rönnqvist (sronnqvi@abo.fi) Release 0.1 License: Creative Commons, Attribution-ShareAlike 4.0 International


For academic purposes, please cite:

Samuel Rönnqvist. 2015. Exploratory topic modeling with distributional semantics. In Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings.

@Inbook{Ronnqvist2015topicMap, author="R{\"o}nnqvist, Samuel", editor="Fromont, Elisa
and De Bie, Tijl and van Leeuwen, Matthijs", title="Exploratory Topic Modeling with Distributional Semantics", bookTitle="Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings",
year="2015", publisher="Springer International Publishing", address="Cham", pages="241--252", isbn="978-3-319-24465-5", doi="10.1007/978-3-319-24465-5_21", url="http://dx.doi.org/10.1007/978-3-319-24465-5_21"}


The code base consists of two parts:

  1. Python scripts for:

    • converting corpus, training word vectors
    • constructing topic map
  2. JavaScript-based visualization of topic map

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