LSTM Recurrent Neural Networks for Short Text and Sentiment Classification
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- 24 May 2017
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
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This publication has 12 references indexed in Scilit:
- Enhancing Constructive Neural Network Performance Using Functionally Expanded Input DataJournal of Artificial Intelligence and Soft Computing Research, 2016
- Order Estimation of Japanese Paragraphs by Supervised Machine Learning and Various Textual FeaturesJournal of Artificial Intelligence and Soft Computing Research, 2015
- A Class of Neuro-Computational Methods for Assamese Fricative ClassificationJournal of Artificial Intelligence and Soft Computing Research, 2015
- Supervised Sequence LabellingPublished by Springer Science and Business Media LLC ,2012
- Framewise phoneme classification with bidirectional LSTM and other neural network architecturesNeural Networks, 2005
- LSTM recurrent networks learn simple context-free and context-sensitive languagesIEEE Transactions on Neural Networks, 2001
- Learning to Forget: Continual Prediction with LSTMNeural Computation, 2000
- The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem SolutionsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
- Long Short-Term MemoryNeural Computation, 1997
- Learning long-term dependencies with gradient descent is difficultIEEE Transactions on Neural Networks, 1994