Libraries used: Tensorflow, PyTorch, Keras, Numpy, SciPy, Scikit-learn, and Theano.
Implemented the Character to Sentence Convolutional Neural Network (CharSCNN) architecture as described in the research paper (https://www.aclweb.org/anthology/C14-1008.pdf). For training the neural network: used the Stanford Twitter Sentiment corpus (STS), which contains Twitter messages.
To duplicate the project results, clone this repository and run the Torun.py file from the src folder.
