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Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

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!
IEEE

Application Optimization of NLP System under Deep Learning Technology in Text Semantics and Text Classification

Abstract: How to use advanced deep learning technology to build an effective and powerful text classification model, extract text semantic attributes and achieve good classification results on ...
Scientific Research Publishing

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

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 ...
marktechpost

How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
GitHub

NhanPhamThanh-IT/ML-Article-Classifier

ML-Article-Classifier is a comprehensive Python project for classifying articles using state-of-the-art Natural Language Processing (NLP) techniques. It leverages sentence embeddings and machine ...
InfoQ

Google Launched LangExtract, a Python Library for Structured Data Extraction from Unstructured Text

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...