---
title: "Newly Developed Computer System Can Detect Sarcasm and Irony in Text Messages"
description: "A new machine learning technology is being developed by Israeli scientists can identify emotions in text messages and email, such as sarcasm, irony and even antisocial or suicidal thoughts."
date: "2015-07-04"
modified: "2015-08-13"
authors:
  - name: "Hashem AL-ghaili"
    link: "https://futurism.com/authors/hashem_al-ghaili"
url: "https://futurism.com/newly-developed-computer-system-can-detect-sarcasm-and-irony-in-text-messages"
categories:
  - "Artificial Intelligence"
tags:
  - "artificial intelligence"
---

# Newly Developed Computer System Can Detect Sarcasm and Irony in Text Messages

![](<https://futurism.com/wp-content/uploads/2015/07/3779-46231-1-SP.jpg>)
*1010-54 039  1010-54 Texting Illustration  October 28, 2010  Photo Illustration by Jaren Wilkey/BYU  © BYU PHOTO 2010 All Rights Reserved photo@byu.edu  (801)422-7322*

- Eden Saig, a computer science student at the Technion-Israel Institute of Technology in Israel, developed the computerized learning system which works by recognising repeated word patterns. The system was constructed to identify key words and grammatical habits that were characteristic of sentence structure implied by the content's sentiments.
- The quantification was carried out by examining 5,000 posts on social media pages and, through statistical analysis, gearing a learning system to recognize content structure that could be identified as condescending or slang.
- "Now, the system can recognize patterns that are either condescending or caring sentiments and can even send a text message to the user if the system thinks the post may be arrogant. When applied to other networking pages it may help detect content that suggests suicidal ideations, for example, or 'calls' for help, or expressions of admiration or pleasure.” said Saig.

### Author social links  
[Facebook](<https://www.facebook.com/profile.php?id=100010193103090>)  
[LinkedIn](<https://de.linkedin.com/in/hashem-al-ghaili-1b30679b>)