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.