Palladian for KNIME version 126.96.36.199103282119 by palladian.ws
This node uses the dictionary build with the corresponding learner node and predicts the categories for uncategorized documents by looking up the relevance scores in the dictionary and assigning the categories with the highest probability.
This classifier won the first Research Garden competition where the goal was to classify product descriptions into eight different categories. See press release (on archive.org).
The complementary Naïve Bayes scoring has been described in “Tackling the Poor Assumptions of Naive Bayes Text Classifiers”; Jason D. M. Rennie; Lawrence Shih; Jaime Teevan; David R. Karger; 2003. This way, not the term counts in the regarded class, but the counts from all other classes are regarded for each class prediction. This leads to better classification accuracy.
To use this node in KNIME, install Palladian for KNIME from the following update site:
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.