Sarcasm Detector

URL: https://github.com/benevanoff/Sarcasm-Detector

Description

This project is an attempt at sarcasm detection using prosodic cues from the SadBoyz Irony dataset.

Methods and Models

• Prosodic Feature Analysis: Investigates sarcasm detection through speech patterns and intonation.
• Dataset-Based Approach: Utilizes the SadBoyz Irony dataset, which contains ironic and non-ironic speech samples.

⚠ Lack of Information:

• The repository does not specify which machine learning or deep learning models were used.
• There is no clear methodology described regarding feature extraction, preprocessing, or training process.

Dataset

• SadBoyz Irony dataset: A dataset designed for irony detection through prosodic cues (intonation, pitch, rhythm).

Implementation Details

⚠ Lack of Information:

• No implementation details are provided regarding feature extraction, preprocessing, or classification models.

Results

⚠ Lack of Information:

• The repository does not provide specific results, evaluation metrics, or performance comparisons.