Deep learning for sentence classification

  title={Deep learning for sentence classification},
  author={Abdalraouf Hassan and Ausif Mahmood},
  journal={2017 IEEE Long Island Systems, Applications and Technology Conference (LISAT)},
Most of the machine learning algorithms requires the input to be denoted as a fixed-length feature vector. In text classifications (bag-of-words) is a popular fixed-length features. Despite their simplicity, they are limited in many tasks; they ignore semantics of words and loss ordering of words. In this paper, we propose a simple and efficient neural language model for sentence-level classification task. Our model employs Recurrent Neural Network Language Model (RNN-LM). Particularly, Long… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 19 references

a!. learning semantic representations using convolutional neural networks for web search

Y. Shen
Proceedings of the 23rd International Conference on World Wide Web • 2014
View 1 Excerpt

Natural Language Processing (almost) from Scratch

Journal of Machine Learning Research • 2011

Similar Papers

Loading similar papers…