A1 - sentiment classification Using Deep Averaging Network
A2 - Using Deep learning architecture like RNN, LSTM , CNN , CNNLSTM ATTN
-
Notifications
You must be signed in to change notification settings - Fork 0
Leveraged various approaches including Deep Averaging Network, BiLSTM and Transformer (Encoder) model for sentiment classification tasks on IMDB Movie Dataset. • Achieved Peak accuracy of 91.2% using Transformer (Encoder) model.
Amg9794/Sentiment-Classification
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
About
Leveraged various approaches including Deep Averaging Network, BiLSTM and Transformer (Encoder) model for sentiment classification tasks on IMDB Movie Dataset. • Achieved Peak accuracy of 91.2% using Transformer (Encoder) model.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published