Sarcasm detection on tweets using neural network

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

A retrieve and edit approach to generate sarcasm by reversing valence and adding incongruent common sense context

Sarcasm dataset, 15K tweets, very high quality, both intended & perceived sarcasm, rich context

code for deep learning models applied to nlp tasks

Multi-Figurative Language Generation (COLING 2022)

Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

System for irony detection in product reviews

Code related to the ALTA's 2019 Shared Task - "Detecting Target of Sarcasm using Ensemble Methods"

Text Classification Competition for Sarcasm Detection in Tweets using BERT model

A deep learning implementation to detect sarcastic texts in short textual corpora.

A Python script that fetches trending cybersecurity news and generates cynical, ironic LinkedIn posts using OpenAI's GPT models

Evaluation code for the Self-Annotated Reddit Corpus. To be used for NLP Course Project of the University of Twente.

Developing a Sarcasm Detection Solution using Machine Learning and Deep Learning Approaches