"Thanks for making me late": New social media tool claims to spot sarcastic comments


Social media monitoring provider Spotter has developed a tool it claims will identify sarcasm in online comments.


The company claimed that its analytics tool was 80% accurate in identifying sarcastic comments online as it generates reputation reports based on social and traditional media material; for instance if Air France was two hours late and someone tweeted “thanks for getting us to Heathrow two hours late”, the company said the tool would identify the sarcasm inherent in the tweet.

Using a combination of linguistics, semantics and heuristics, it covers 29 languages including Chinese, Russian and Arabic.

Speaking to the BBC, Spotter’s UK sales director Richard May said: “Nothing is fool-proof - we are talking about automated systems. But five years ago, you couldn’t get this level of accuracy - we were at the 50% mark.”

Spotter says its clients include the Home Office, EU Commission and Dubai Courts.

The algorithm-based analytics software generates reputation reports based on social and traditional media material.

The company says these reports can also be verified by human analysts if the client wishes.
Spotter charged Air France a minimum of £1,000 per month for its services.


<< Back to today’s Digital Intelligence news

Copyright ©2000-2018 Digital Strategy Consulting Limited | All rights reserved | This material is for your personal use only | Using this site constitutes acceptance of our user agreement and privacy policy