REBUS 1.0 is a text analysis tool that generates dendrograms to show the entropic correlations among the words of a given text.
It applies entropy agglomeration (EA) by computing the projection entropies (PE) among the words according to their occurences in the text’s paragraphs.
REBUS 1.0 is under GNU General Public License.
>>> What is REBUS 1.0? <<<
— Download poster for ML+NLP @ #NIPS2014
— Access rebus.py at github.com
— Download source code
— Download example results for:
Ulysses (1922) by James Joyce
>>> See the notes for using REBUS 1.0 <<<
On REBUS 1.0, you can refer to our workshop paper:
Fidaner, I. B. & Cemgil, A. T. (2014) Clustering Words by Projection Entropy, accepted to NIPS 2014 Modern ML+NLP Workshop.
On entropy agglomeration (EA), you can refer to our conference paper:
Fidaner, I. B. & Cemgil, A. T. (2013) Summary Statistics for Partitionings and Feature Allocations. In Advances in Neural Information Processing Systems, 26.
Have questions on REBUS, EA, PE, COD, etc.? Write to |
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