Sentiment analysis ULMFiT model for Twitter US Airlines

The ULMFiT model using Twitter US Airlines user's reviews.

Dependencies:

• NumPy - For faster manipualtion of array operations (used here only permutation of indices in DataFrame).
• Pandas - For reading data from CSV file data into processable format called a DataFrame.
• TensorFlow - To create model by processing data from DataFrame using Keras in TensorFlow.
• Scikit-learn - For label encoding (using LabelEncoder()) the target variables in data.

Note: This model is completely developed in Jupyter Notebook and executed on Google Colab but also a Python (.py) file is provided if required.