- Read more about PSEUDO-SUPERVISED APPROACH FOR TEXT CLUSTERING BASED ON CONSENSUS ANALYSIS
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In recent years, neural networks (NN) have achieved remarkable performance improvement in text classification due to
their powerful ability to encode discriminative features by incorporating label information into model training. Inspired
by the success of NN in text classification, we propose a pseudo-supervised neural network approach for text clustering.
The neural network is trained in a supervised fashion with pseudo-labels, which are provided by the cluster labels
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- Read more about PSEUDO-SUPERVISED APPROACH FOR TEXT CLUSTERING BASED ON CONSENSUS ANALYSIS
- Log in to post comments
In recent years, neural networks (NN) have achieved remarkable
performance improvement in text classification due to
their powerful ability to encode discriminative features by
incorporating label information into model training. Inspired
by the success of NN in text classification, we propose a
pseudo-supervised neural network approach for text clustering.
The neural network is trained in a supervised fashion
with pseudo-labels, which are provided by the cluster labels
of pre-clustering on unsupervised document representations.
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