Multimodal Sarcasm Detection Dataset

Sarcasm detection on tweets using neural network

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

This repo contains code to detect sarcasm from text in discussion forum using deep learning

High quality dataset for the task of Sarcasm Detection

detect Sarcasm in a text or document

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

This repository contains the Arabic sarcasm dataset (ArSarcasm)

Sarcasm Detection for Sentiment Analysis

[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection

Datasets used for iSarcasmEval shared-task (Task 6 at SemEval 2022)

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 …

A deep learning model to detect sarcasm in plain text.

Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"

A sarcasm detection model using Bidirectional Encoder Representations for Transformers (BERT) and Graph Convolutional Networks (GCN) has shown state-of-art results against conventional models and vanilla transformer-based approaches.

Can sarcastic sentences be identified?

ArSarcasm-v2 is an extension to the original ArSarcasm dataset. It was used for the shared task on sarcasm detection and sentiment analysis, which is a part of WANLP 2021.

Sarcasm detection is a particularly difficult task even for humans. This repository contains the implementation of a research paper by Ashwin Rajadesingan in python ML libraries.

System for irony detection in product reviews