Labeling Topics with Images using Neural Networks

Nikolaos Aletras; Arpit Mittal

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arXiv · 1608.00470

Labeling Topics with Images using Neural Networks

Nikolaos Aletras·Arpit Mittal

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Abstract

Topics generated by topic models are usually represented by lists of $t$ terms or alternatively using short phrases and images. The current state-of-the-art work on labeling topics using images selects images by re-ranking a small set of candidates for a given topic. In this paper, we present a more generic method that can estimate the degree of association between any arbitrary pair of an unseen topic and image using a deep neural network. Our method has better runtime performance $O(n)$ compared to $O(n^2)$ for the current state-of-the-art method, and is also significantly more accurate.

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BibTeX RIS

Nikolaos Aletras, Arpit Mittal. 2016-08-01. Labeling Topics with Images using Neural Networks. https://arxiv.org/abs/1608.00470

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