Computational Laughing: Automatic Recognition of Humorous One-liners

Description:

This paper discusses automatic recognition of humor.

Creator(s):
Creation Date: July 2005
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 350
Past 30 days: 4
Yesterday: 0
Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Strapparava, Carlo, 1962-

ITC-irst, Istituto per la Ricerca Scientifica e Tecnologica

Date(s):
  • Creation: July 2005
Description:

This paper discusses automatic recognition of humor.

Degree:
Note:

Abstract: Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this paper, the authors bring empirical evidence that computational approaches can be successfully applied to the task of humor recognition. Through experiments performed on very large data sets, the authors show that automatic classification techniques can be effectively used to distinguish between humorous and non-humorous texts, with significant improvements observed over apriori known baselines.

Physical Description:

6 p.

Language(s):
Subject(s):
Keyword(s): humor recognition | computational humor | sentiment analysis
Source: Cognitive Science Conference (CogSci), 2005, Stresa, Italy
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30966
Resource Type: Paper
Format: Text
Rights:
Access: Public