Sarcasm Analysis and Mood Retention Using NLP Techniques

Sarcasm detection in written texts is the Achilles’ heel of research areas sentiment analysis, especially with absence rightful verbal tone, facial expression or body gesture that leads to random misinterpretations. It crucial sectors social media, advertisements and user feedbacks on services require proper interpretation for service evaluation improvisation their products. The objective here thereby identify sarcasm within a given text by experimenting original predicted mood work its transformation several variations combination standard sarcastic elements present corresponding writing. Here NLP techniques are used identification interpretation. This involves detecting primary connotation (e.g. positive/neutral/negative), followed sarcasm. Then, under presence indicator algorithm, previously detected attempted.