Hello and welcome to today's lesson! We are now moving towards an exciting journey into the field of Neural Networks, significant players in the Natural Language Processing (NLP) arena. Neural Networks implicitly capture the structure of the data, a phenomenon that's of high value in text data, given its sequential nature. Remember how our ensemble models did a good job on the Reuters-21578 Text Categorization Collection
? Now, imagine how we can unlock even higher performance by using these powerful models.
Before discussing Neural Networks in detail, let's recall the code we have already executed:
So far, we have preprocessed our text data and transformed it into a format suitable for input into models. We have our train and test datasets ready, which means we are all set to dive into creating our Neural Network model for text classification.
