2020

Deep Learning for Hindi Text Classification: A Comparison

Joshi, Ramchandra, Goel, Purvi, Joshi, Raviraj

Understand

Natural Language Processing (NLP) and especially natural language text analysis have seen great advances in recent times.

  • Usage of deep learning in text processing has revolutionized the techniques for text processing and achieved remarkable results.
  • Different deep learning architectures like CNN, LSTM, and very recent Transformer have been used to achieve state of the art results variety on NLP tasks.
  • In this work, we survey a host of deep learning architectures for text classification tasks.

Built on

  • Arora, P.: Sentiment analysis for hindi language (2013)

    2013

    Earlier work this paper cites.

  • Kim, Y.: Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)

    Original

    2014

    Earlier work this paper cites.

  • Pennington, J., Socher, R., Manning, C.: Glove: Global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). pp. 1532–1543 (2014)

    2014

    Earlier work this paper cites.

  • Lai, S., Xu, L., Liu, K., Zhao, J.: Recurrent convolutional neural networks for text classification. In: Twenty-ninth AAAI conference on artificial intelligence (2015)

    2015

    Earlier work this paper cites.

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