In our Last Story, we discussed on building a text classifier without using an RNN. Here in this article, we are going to discuss on building a text classifier using Recurrent Neural Network (RNN).
Let us imagine, when we were first taught to write the alphabet A on a practice sheet, we would have done something like this.
In continuation with Natural Language Processing Using Python & NLTK, this article intends to explore as how to build a Binary Text Classifier without using Recurrent Neural Network (RNN) or Long Short-Term Memory (LSTM)
We know that ANNs play well with numerals and NLP is all about texts. So before training a model with text data, we need to categorize the input data and try representing words as numbers or vectors. Any raw categorical features like character/ word tokens, POS tags, etc.,. …
Introduction to NLP followed by Tutorial on the basics of NLP with sample code implementation using Python & Natural Language Toolkit (NLTK)
This article, explores the history that paved the way for the introduction of Natural Language Processing (NLP), the basics of NLP with sample codes and then dive into Natural Language Toolkit (NLTK) library to show how they simplify the NLP related tasks.
Natural Language Processing (NLP), broadly…