You will get Accessing the humor of edited headlines
Project details
we have
estimate the funniness of news headlines that have been modified
by humans using a micro-edit to make them funny. The task
include two sub task:
1) Regression: Given the original and the edited headline, we
are require to predict the mean funniness of the edited
headline.
2) Predict the funnier of the two edited headlines: Given
the original headline and two edited versions, we need to
predict which edited version is the funnier of the two.
estimate the funniness of news headlines that have been modified
by humans using a micro-edit to make them funny. The task
include two sub task:
1) Regression: Given the original and the edited headline, we
are require to predict the mean funniness of the edited
headline.
2) Predict the funnier of the two edited headlines: Given
the original headline and two edited versions, we need to
predict which edited version is the funnier of the two.
AI Development Type
Deep Learning, Knowledge RepresentationAI Tools
PyTorchAI Development Language
PythonWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 19 days
- Detailed Code Comments
- Knowledge Graph
- Source Code
- Taxonomy
About Sujit
Data Scientist | Python | machine learning | deep learning
Bengaluru, India - 4:54 pm local time
End-to-end data science solutions from data extraction to model deployment.
Automating repetitive tasks through data pipelines and AI-based workflows.
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Project Checklist
- Market Research - Dataset Preparation - Model Finetuning - Validation - Model Deployment