Text Extraction From a Corpus Using BERT - Question Answering
Offered By: Abhishek Thakur via YouTube
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
Sentiment Analysis with Deep Learning using BERTCoursera Project Network via Coursera Natural Language Processing with Attention Models
DeepLearning.AI via Coursera Fine Tune BERT for Text Classification with TensorFlow
Coursera Project Network via Coursera Deploy a BERT question answering bot on Django
Coursera Project Network via Coursera Generating discrete sequences: language and music
Ural Federal University via edX