Natural-Language-Processing

Projects

1. SMS Spam Classification: Classification of text messages as ham/spam.
2. Knowledge Graph: Building an elementary knowledge graph using a dataset of sentences from WikiPedia.
3. Graph Convolutional Networks: Creating an elementary Graph Convolutional Network using thr CORA dataset.
4. Text generation with GPT2: Using GPT2 to write a Sherlock Holmes story.
5. News Classification: Classifying genres of news using Machine Learning
6. spaCy Basics: Exploring the basics of the spaCy framework for NLP
7. Text Generation with LSTM: Using LSTM models to generate text
8. Topic Modelling: Using Latent Dirichlet Allocation(LDA) to do Topic Modelling on News Data
9. Writing a News Article: Using RNNs to write a news article