Multimodal Sarcasm Detection Dataset
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Updated
Apr 1, 2023 - OpenEdge ABL
Multimodal Sarcasm Detection Dataset
This repo contains code to detect sarcasm from text in discussion forum using deep learning
High quality dataset for the task of Sarcasm Detection
Sarcasm detection on tweets using neural network
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
detect Sarcasm in a text or document
Datasets used for iSarcasmEval shared-task (Task 6 at SemEval 2022)
This repository contains the Arabic sarcasm dataset (ArSarcasm)
A deep learning model to detect sarcasm in plain text.
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
Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"
To build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs
Sarcasm dataset, 15K tweets, very high quality, both intended & perceived sarcasm, rich context
Sarcasm detection with BERT
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.
Shared task of the Second Workshop on Figurative Language Processing, co-located with ACL 2020
Can sarcastic sentences be identified?
Sarcasm Detection for Sentiment Analysis
It is the implementation of paper "Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model"
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