Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.
Niru MaheswaranathanAlex H. WilliamsMatthew D. GolubSurya GanguliDavid SussilloPublished in: CoRR (2019)
Keyphrases
- reverse engineering
- recurrent networks
- sentiment classification
- recurrent neural networks
- sentiment analysis
- cross domain
- feed forward
- text classification
- software engineering
- cellular automata
- opinion mining
- neural network
- biologically inspired
- online product reviews
- dynamic analysis
- sentence level
- dynamical systems
- object oriented
- cross lingual
- opinion summarization
- gene regulatory networks
- document level
- online reviews
- reverse engineer
- program understanding
- sentiment polarity
- transfer learning
- data mining
- text categorization
- multi modal
- case study