Search Results for "classifier4j"

The Vector Space Analysis was taken from Classifier4j and modified in following ways: 1. The algorithm was created to imitate the stretching of an elastic-band (I have done actual physical measurements). 2. Stretched Strings are then optimized to give the exact Vector-Space-Analysis results. This way, there is no over-training of the imput, and different sizes of the Strings can be used to get improved results.

...This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/. -Powered by WEKA, Classifier4J and SimMetrics.

FOR A SIMPLER SOLUTION, PLEASE VISIT MY NEW PROJECT: https://sourceforge.net/projects/mechaglot/ This program is made to find the semantic similarities between the sentences, according to categories of their words. It is an enhancement of the Vector-Space analysis found withing the Classifier4j, which does not take into account the semantic meanings of the words. Furthermore, the Vector-Space analysis of the Classifier4J does not work well with the short sentences, while this enhancement does. A new dictionary of categories based on the EOWL list of words was developed, while the categories for each word from the DISCO's semantics were calculated. ...

...Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). ...

Classifier4J is a java library that provides an API for automatic classification of text. The default (and only current) implementation of this API is a Bayesian classifier. This library can be used for multiple purposes - as a spam filter or a blog cl

Text classification and summarization library for .NET. A port of the Classifier4J Java library (see http://classifier4j.sourceforge.net).