Abstract: This paper presents a robust framework for automated news classification using transformer-based embeddings and deep neural models, enhanced through resampling techniques. The methodology ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Add a description, image, and links to the bert-classification topic page so that developers can more easily learn about it.

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...

Abstract: This paper presents a custom BERT-based sentiment classification pipeline for Amazon product reviews. Reviews are grouped into three sentiment classes—bad (1-2 stars), normal (3 stars), and ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Schematic Blueprint for Finetuning LLM (e.g. Qwen or Llama) for text classification using LORA. Output model can have original or modified head (e.g. for SequenceClassification).

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