pmsosa/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
Implements dual hybrid architectures (CNN-LSTM and LSTM-CNN) built with TensorFlow to compare sequential layer ordering effects on sentiment classification. Includes preprocessing utilities for tokenization and batch generation, with configurable hyperparameters (batch size, filter dimensions) for model experimentation on Twitter datasets.
311 stars. No commits in the last 6 months.
Stars
311
Forks
100
Language
Python
License
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Category
Last pushed
Feb 25, 2018
Commits (30d)
0
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