To address the shortcomings of the BERT-BiLSTM model in processing certain features, this study proposed an improved BERT-CNN-BiLSTM-MH model for topic classification tasks in specific scenarios.

CNN advantages in NLP include capturing local patterns efficiently, ... CNNs' unique architecture, ... with convolutional layers or a Transformer model with attention mechanisms.

The Data Science Lab. How to Fine-Tune a Transformer Architecture NLP Model. The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") ...

In this project, we explore sentiment analysis on textual data using CNNs, a deep learning architecture typically used for image processing but adapted here for NLP tasks. The model processes text ...

By leveraging NLP for text preprocessing and deep learning models for classification, ... This projecs shows that the CNN model achieved the highest accuracy in detecting cyberbullying, ...

The COVID-19 pandemic has affected many aspects of everyone’s lives, causing problems in health and the economy. People often share their sentiments about the pandemic on social media, particularly on ...

This article describes how to fine-tune a pretrained Transformer Architecture model for natural language processing. More specifically, this article explains how to fine-tune a condensed version of a ...