If you want to break into data science, a portfolio of completed projects is your most powerful asset. From analyzing Titanic passenger data to creating interactive dashboards, beginner-friendly ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

This repository provides a Flask web application for sentiment analysis using an NLP text classification model. It includes setup instructions for both Windows and macOS.

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a ...

Abstract: Text categorization serves as a fundamental component in the domain of natural language processing, finding practical uses in tasks such as retrieving information, analyzing sentiments, and ...

Abstract: In the text classification process, which is a sub-task of NLP, the preprocessing and indexing of the text has a direct determining effect on the performance for NLP models. When the studies ...

The success of natural language processing (NLP) is making NLP applications commonplace. Unfortunately, recent research has shown that privacy might be at stake given that these models are often ...