Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

A2Text-Net: A Novel Deep Neural Network for Sarcasm Detection - 2019

A2text-Net: A Novel Deep Neural Network For Sarcasm Detection

Research Area:  Machine Learning

Abstract:

Sarcasm is a common form of irony in which users usually express their negative attitudes using contrary words. Predicting sarcasm is an essential part of investigating human social interaction. Improvements in classifying sarcasm have the potential to improve other dimensions of human sentiment (e.g., brand preference, political views). In face-to-face communication, the changing of voice, eye contact, physical position, etc. provides the audience with cues to detect sarcasm. However, detecting sarcasm exclusively with text is particularly challenging, given the lack of these subtle human-centric cues. In this study, we employed a new deep neural network: A2Text-Net to mimic the face-to-face speech, which integrates auxiliary variables such as punctuations, part of speech (POS), numeral, emoji, etc. to increase classification performance. The experiment results provide evidence that our A2Text-Net approach improves classification performance over conventional machine learning and deep learning algorithms.

Keywords:  

Author(s) Name:  Liyuan Liu; Jennifer Lewis Priestley; Yiyun Zhou; Herman E. Ray; Meng Han

Journal name:  2019 IEEE First International Conference on Cognitive Machine Intelligence

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/CogMI48466.2019.00025

Volume Information: