Search Results for "classifier4j"
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Showing 6 open source projects for "classifier4j"
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Elastic Vector Space Analysis
Modifier Vector Space Analysis
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. -
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Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
...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. -
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Calculate Semantic Similarity
Calculate Semantic Similarity between the Sentences
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. ... -
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Unsupervised TXT classifier
Classify any two TXT documents, no training required - JAVA
...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). ... -
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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
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Text classification and summarization library for .NET. A port of the Classifier4J Java library (see http://classifier4j.sourceforge.net).
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