News_Head-Line-Sarcasm-Detection

URL: https://github.com/Mreeb/News_Head-Line-Sarcasm-Detection

Description:
The dataset used in this project is called the “News Headlines Dataset for Sarcasm Detection” and is available on Kaggle: News Headlines Dataset for Sarcasm Detection. It consists of a collection of news headlines that are labeled to indicate whether they are sarcastic or not.

Methods

The project involves using the News Headlines Dataset for Sarcasm Detection, where each headline is labeled as sarcastic or not. The goal is to build a model that can predict sarcasm based on the text of the headlines.

Results

Results are not explicitly mentioned in the description, but the task is to classify news headlines as sarcastic or non-sarcastic based on the dataset provided. The repository likely includes details on how the model performs with different algorithms.

Dataset

• News Headlines Dataset for Sarcasm Detection: The dataset consists of news headlines with binary labels indicating sarcasm. It is available on Kaggle at the provided link. The dataset is labeled with two categories: sarcastic or not sarcastic.

For more information on the dataset, you can visit the Kaggle link provided above.