Domain Adaptation for Resume Classification Using Convolutional Neural Networks

2017-07-18 · Luiza Sayfullina, Eric Malmi, Yiping Liao, Alex Jung

We propose a novel method for classifying resume data of job applicants into 27 different job categories using convolutional neural networks. Since resume data is costly and hard to obtain due to its sensitive nature, we use domain adaptation. In particular, we train a classifier on a large number of freely available job description snippets and then use it to classify resume data. We empirically verify a reasonable classification performance of our approach despite having only a small amount of labeled resume data available.

📄 PDF Abstract BibTeX arXiv:1707.05576

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Classification Domain Adaptation General Classification

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