Natural Language Processing - Sarcasm Detection
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Updated
Feb 14, 2017 - Java
Natural Language Processing - Sarcasm Detection
System for irony detection in product reviews
This is the Github repository for SemEval-2018 Task 3
A Simple and Accurate Neural Network Model for Irony Detection in Twitter
This repo contains my Bachelor's Thesis at the Departement of Informatics of the Universiy of Athens
This repo is the work done for IDAT 2019 Shared Task — Shared Task on detecting irony in Arabic tweets by RGCL
Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"
Coursework project in NLP. Extraction of Irony from Twitter based sentiment analysis.
Irony Detection in a Multilingual Context
MirasText
This is the project page of the dataset for the binary and multi-label classification of irony in Bengali Tweets.
Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
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
This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic
Course Project (ELEC 880 @ Queen's University)
Paper: A Cancel Culture Corpus through the lens of Natural Language Processing
Datasets used for iSarcasmEval shared-task (Task 6 at SemEval 2022)
Code used in experiment for CLEF2022's Shared Task: Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO)
Multi-View Sentiment Corpus (EACL 2017): tweets labelled by three annotators with sentiment, emotion, irony, subjectivity and implicitness
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