• Dr. Saroja T.V
• Aniket Shetty
• Sarika Shimpi
• Sohil Sheikh,

Sarcasm is typically a statement that is intentionally the exact opposite of the literal meaning of the statement. For example, “ I love waiting on line “ or “ I hate receiving thoughtful gifts. “ . In each case the communicator or speaker obviously means the opposite of the actual statement . Sarcasm detection is of great importance in understanding people’s true sentiments and opinions. However, sarcasm detection is also a very difficult task, as it’s largely dependent on context, prior knowledge and the tone in which the sentence was spoken or written. The most common errors nowadays are False negatives sarcasm. Sarcastic tweets not being detected by the model, most probably because they are very specific to a certain situation or culture and they require a high level of world knowledge that DL models don’t have. The purpose and objective of our project is to use a model based on machine learning algorithm which will be able to detect sarcasm from tweets, comments , headlines of the social media. GloVe based model which is an unsupervised machine learning algorithm will help to detect sarcasm with a very good accuracy rate. GloVe algorithm is a category of unsupervised learning algorithm . GloVe is a very popular algorithm for getting the vector representation for words. These vector representation of words through GloVe is achieved by mapping words into a meaningful space where the distance between the words is related to semantic similarity. Now once the words are converted into sequence of vectors will pass these sequences to the Recurrent Neural Network. The category of recurrent neural network used in the proposed system is LSTM(long short term memory). The main reason to select LSTM model is because the LSTM itself a type of RNN and recurrent neural networks are very good at learning sequences. The final evaluation will be detection whether the following text is sarcastic or not.

Sarcasm, GloVe , Long-Short Term Memory, Word2Vec, Sentiment analysis. NLP

"Glove Based Sarcasm Detection On Social Media ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.188-195, June-2024, Available :http://www.jetir.org/papers/JETIRGH06030.pdf

"Glove Based Sarcasm Detection On Social Media ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp188-195, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06030.pdf