I want to use CNN in NLP for sentiment analysis with two different input networks, one with LSTM and another with CNN. But to concatenate both the outputs do I need to fix the kernel size of CNN to 1?
https://github.com/m-peker/CNN-with-different-kernel-size-for-sentence-classification
In order to adjust the size of the CNN output, you can use Pooling
I advise you to read this research :
http://www.mecs-press.org/ijisa/ijisa-v12-n4/IJISA-V12-N4-3.pdf
Dear Muntasir Hoq ,
Neural networks are a set of algorithms designed to recognize patterns. These patterns are numbers contained in vectors that are translated from real-world data such as images, sound, text or time series. A convolutional neural network is a neural network that applies convolutional layers to local features.
https://towardsdatascience.com/convolutional-neural-network-in-natural-language-processing-96d67f91275c
Regards,
Shafagat
- Badges
- Science topic
- Similar topics
- Biological Science
- Histology
- Fixatives