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Finally, our method is compared to conventional text classification implementations.
There are many machine learning models/techniques for text classification.
For a recent example of text classification, check out Cloudera Fast Forward Labs' prototype Newsie.
In a clean statistical text classification experiment, you should never run any program on or even look at the test set while developing a text classification system.
We show how this problem has been expressed in terms of text classification via machine learning.
We focus on Labeled-LDA and SVMs algorithms to perform short text classification.
In this study, we propose an automated ADR related posts filtering mechanism using text classification methods.
Typical classes in text classification are complex and seem unlikely to be modeled well linearly.
Text Classification by Augmenting the Bag-of-Words Representation with Redundancy-Compensated Bigrams.
We first need to state our objective in text classification more precisely.
Examines applications in several areas: computer vision, computer graphics, text classification and bioinformatics.
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