Work

Detecting Sarcasm is Extremely Easy ;-)

Year: 2018

Type: conference-paper

Abstract: Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text.We analyze the performance of a domain-general sarcasm detection system on datasets from two very different domains: Twitter, and Amazon product reviews.We categorize the errors that we identify with each, and make recommendations for addressing these issues in NLP systems in the future.

DOI: 10.18653/v1/w18-1303

Authors: Natalie Parde, Rodney Nielsen

Institution: University of North Texas

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: National Science Foundation

Awards: Graduate Research Fellowship Program (GRFP), SHB: Large: Collaborative Research: Companionbots for Proactive Therapeutic Dialog on Depression

OpenAlex ID: W2806686806