For my natural language processing course, I developed a text classification project aimed at categorizing news articles into three distinct categories: sports, political, and historical. The ...

1. Naive Bayes Classifier: Naive Bayes is a simple and effective algorithm for text classification in NLP. It is based on the Bayes theorem and assumes that the presence of a particular feature in ...

In this article, we list down – in no particular order – eight different NLP scenarios that one can take up for a project. Question answering ... Question Answering systems (CoQA), etc. Text ...

coupled with the multiplying utilization of pre-trained NLP models by application developers to develop applications that can perform tasks such as sentiment analysis and text classification are ...

The objective of this project is to classify text samples based on a labeled dataset using NLP techniques. This project demonstrates how to approach text classification tasks by processing textual ...