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A sentiment classification model is written in Python and Spark using ensemble learning.

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Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Data_Preparation .ipynb		Data_Preparation .ipynb
Dense_NN.ipynb		Dense_NN.ipynb
Ensemble_Final .ipynb		Ensemble_Final .ipynb
Model_selection.ipynb		Model_selection.ipynb
README.md		README.md
emoticons.py		emoticons.py
pySpark.ipynb		pySpark.ipynb

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Sentiment_Learning

This repository contains following notebooks

Data_Preperation: Twitter data, data cleaning using NLP methods
Model_Selection: Hyperparameter tuning, cross-validation
Dense_NN: Deep learning with Keras
Ensemble_Final: Stacking the model
pySpark: Parallel work using Apache Spark