YoVDO

Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction - NLP

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Machine Learning Courses Sentiment Analysis Courses Text Mining Courses Information Retrieval Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 14-minute conference talk from SIGIR 2024 focused on Natural Language Processing (NLP) and aspect sentiment triplet extraction. Delve into the research presented by authors You Li, Xupeng Zeng, Yixiao Zeng, and Yuming Lin on an enhanced packed marker approach that incorporates entity information. Learn about the latest advancements in sentiment analysis techniques and how this novel method improves the extraction of aspect-sentiment-opinion triplets from text data. Gain insights into the potential applications and implications of this research for various NLP tasks and sentiment analysis in particular.

Syllabus

SIGIR 2024 M2.5 [fp] Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Ext


Taught by

Association for Computing Machinery (ACM)

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent