Deep-Learning-Projects Hotel-Reviews-Classifier Classified hotel reviews into 2-class classification as positive/negative and deceptive/truthful reviews using 2-layered network using TensorFlow. Implemented our own gradient descent and even visualize test data by reducing dimensions using TSNE. You can see in tsne_embeds.pdf Training data used is same as under Naive Bayes Classifier under NLP Project Repository. Run starter.py with input data as command line argument. Got 95% accuracy. RNN-POS-Tagger Tagged Italian, Japanese and surprise language using sequence to sequence model using TensorFlow. Used Bidirectional LSTM to get better accuracy. Got 96% accuracy for Japanese and Italian languages.