MirunaPislar/Sarcasm-Detection
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Implements parallel classical and neural architectures—SVMs and logistic regressors alongside CNNs, LSTMs, GRUs, and attention-based models—evaluated across four Twitter datasets with preprocessing pipelines incorporating emoji and sentiment features. Built with Keras/TensorFlow backend, includes pre-trained models, layer weight visualizations, and attention mechanism analysis to identify which linguistic cues (sentiment words, emojis, punctuation) drive sarcasm predictions.
100 stars. No commits in the last 6 months.
Stars
100
Forks
33
Language
Python
License
MIT
Category
Last pushed
May 02, 2018
Commits (30d)
0
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