IEEE

Text Emotion Detection using NLP, Python, and Streamlit for Sustainable Development

Abstract: In the era of digital transformation, the volume of textual data generated globally has escalated dramatically. This research focuses on the application of Natural Language Processing (NLP), ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text ...

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 ...
GitHub

text-analysis-and-classification-using-nlp

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 ...
Hacker

14 Open Datasets for Text Classification in Machine Learning

I'm interested in the AI trends that shape how people and technology intersect and interact. I'm interested in the AI trends that shape how people and technology intersect and interact. I'm interested ...
IEEE

Text Classification Using NLP by Comparing LSTM and Machine Learning Method

Abstract: Natural Language Processing (NLP) has seen significant advancements recently, leading to various applications across different domains. This research focuses on text classification by ...
Microsoft

Membership Inference Attacks Against NLP Classification Models

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 ...