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
DCO042 - Python For InformaticsUniversity of Michigan via Independent Corpus Linguistics: Method, Analysis, Interpretation
Lancaster University via FutureLearn 日本中世の自由と平等 (ga001)
University of Tokyo via gacco "A Study in Scarlet" by Doyle: BerkeleyX Book Club
University of California, Berkeley via edX "A Room with a View" by Forster: BerkeleyX Book Club
University of California, Berkeley via edX