Sarcasm detection in comments from Reddit
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Updated
Jul 18, 2018 - Jupyter Notebook
Sarcasm detection in comments from Reddit
NLP | Zero to Hero Course Tensorflow| Text classification Model to understand sentiments in text.
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)
Multilingual sarcasm detector for detecting sarcasm from news article titles
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
Repository of the Project 5: Sarcasm detection in sentences using neural networks, word embeddings and padding. Performing data cleaning & preparation, data visualization and creating a user input as well as a small website using Streamlit.
The code for "Sarcasm Detection with Commonsense Knowledge"
A deep learning approach for detecting sarcasm in Headlines
Text Mining and Sarcasm Detection on News Data
A project consisting of analysis of sarcasm in text using Natural Language Processing techniques. It highlights the importance of context and punctuation in sarcasm detection. Different deep learning models are applied and compared to get the best accuracy in sarcasm detection.
Sarcasm detection model, trained on Sarcasm on Reddit Dataset.
This is an NLP project, where I am attempting to detect sarcasm in social networks in Persian language.
Final Projects for CS224N: Natural Language Processing w/ Deep Learning & CS224U: Natural Language Understanding
This projects have been my learning while working on tensorflow on how to create models using tensorflow and solve nlp problems
Transfer Learning for News Headline Sarcasm Detection Using BERT Based Supervised Fine-Tuning
Advanced NLP project where we needed to build a Sarcasm/Irony classifier. It has many methods like BiLSTM, Transformers to BERT/ T5 / MPNET finetuning
model detects Sarcasm using SVM which is applied to Sarcasm_Headlines_Dataset.json data set
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