A Deep Learning Approach to Extract Integrated Meaningful Keywords from Social Network Posts with Images, Texts and Hashtags

Author:

Lin Ren-Xiang,Yu Chien-Chih,Yang Heng-Li

Publisher

Springer Singapore

Reference13 articles.

1. Kao, D., Lai, K.-T., Chen, M.-S.: An efficient and resource-aware hashtag recommendation using deep neural networks. In: Yang, Q., Zhou, Z.-H., Gong, Z., Zhang, M.-L., Huang, S.-J. (eds.) Advances in Knowledge Discovery and Data Mining 2019 Lecture Notes in Computer Science, vol. 11440, pp. 150–162. Springer, Cham (2019)

2. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778. IEEE, Las Vegas, NV (2016)

3. Krizhevsky, A.: Learning multiple layers of features from tiny images. Master’s thesis, University of Toronto, Toronto, Canada (2009)

4. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv:13013781 (2013)

5. LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time series. In: The Handbook of Brain Theory and Neural Networks, pp 255–258. MIT Press, Cambridge, MA (1998)

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