Sarcasm detection on tweets using neural network
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Updated
Dec 1, 2023 - Python
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
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
A deep learning model to detect sarcasm in plain text.
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 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.
Code for "Dual-Level Adaptive Incongruity-Enhanced Model for Multimodal Sarcasm Detection".
Official repository of the paper "InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection"
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
Shared task of the Second Workshop on Figurative Language Processing, co-located with ACL 2020
The code for "Sarcasm Detection with Commonsense Knowledge"
Final Projects for CS224N: Natural Language Processing w/ Deep Learning & CS224U: Natural Language Understanding
An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents
Class Project (7th Semester, IR&TM course)
A Sentiment Analysis Dataset of Comments in Serbian
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