Sarcasm target identification can also benefit natural language generation; for example, after detection of entity toward which a negative sentiment is expressed in a sarcastic text, a natural language generation system will have more context to generate a response.
if a user expresses a sarcastic utterance such as "My laptop has an awesome battery life that lasts for 15 minutes", the tool should recognize that the speaker is expressing a negative sentiment toward the battery life of the laptop, even though, it has a positive sentiment word 'awesome' in it.