There are 9 repositories under sarcasm-detection topic.
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 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
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Sarcasm Detection for Sentiment Analysis
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 on sarcasm detection are presented in this paper.
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.
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.
Can sarcastic sentences be identified?
It is the implementation of paper "Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model"
Shared task of the Second Workshop on Figurative Language Processing, co-located with ACL 2020
System for irony detection in product reviews
This repo represents model developed for Irony and sentiment detection in Arabic tweets in WANLP shared tasks on sarcasm and sentiment detection in Arabic tweets
Homework for Deep Learning Fundamentals class (BIT北理工, 深度学习基础)
Sarcasm Detection using LSTM, GRU, and RoBERTa on SARC (reddit), sarcasm_v2, and iSARCASM (twitter) datasets
This repository contains our sarcasm annotated datasets along with notebooks to use our fine-tuned language models for our EMNLP 2022 Workshop Paper: "Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset"
Sarcasm detection with BERT
Official repository of the paper "InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection"
This is an NLP project, where I am attempting to detect sarcasm in social networks in Persian language.
To build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs
Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.
Final Projects for CS224N: Natural Language Processing w/ Deep Learning & CS224U: Natural Language Understanding
A sarcasm detector based on state of the art NLP techniques. The implementation is based on the Encoder model and incorporates a few variations. The website uses a backend made using FLASK and deployed using Heroku .The readme contains comprehensive details about the project!
This is the code's repository of the paper "A Kernel-based Approach for Irony and Sarcasm Detection in Italian" presented at IronITA @ Evalita2018