YoVDO

Text Extraction From a Corpus Using BERT - Question Answering

Offered By: Abhishek Thakur via YouTube

Tags

BERT Courses Deep Learning Courses Text Analysis Courses Kaggle Courses

Course Description

Overview

Learn how to perform text extraction tasks using BERT in this comprehensive video tutorial. Explore techniques similar to question-answering tasks, focusing on a Kaggle competition for tweet sentiment extraction. Dive into the coding environment, character targets, sentiment IDs, and evaluation modules. Follow along as the instructor guides you through the process of setting up the training engine and implementing BERT for effective text extraction. Gain valuable insights into deep learning applications and enhance your skills in natural language processing.

Syllabus

Introduction
Coding Environment
Character Targets
Targets
Sentiment
IDs
Evaluation
Module
Engine
Training


Taught by

Abhishek Thakur

Related Courses

Winning a Kaggle Competition in Python
DataCamp
Visualization of UK accidents using Plotly Express
Coursera Project Network via Coursera
Getting Started with Kaggle
Coursera Project Network via Coursera
【Kaggleで学ぼう】Python と Keras で学ぶディープラーニング開発入門
Udemy
Kaggle: Veri Bilimi ve Makine Öğrenimi Topluluğu
Udemy