Deep Learning for Social Media Analytics: Developing Algorithms for Sentiment, Emotion, and Stance Analysis
Wednesday, October 30, 2019
12:30 – 2:00 pm
Mackintosh-Corry Hall D411
Abstract:
Automatically detecting sentiment, emotion, and stance expressed in tweets, blogs, product reviews, and SMS messages has attracted extensive interest from both academia and industry. It has a number of applications, including: tracking sentiment towards events, politicians, products, and service;... Read more about @title...
