News article slant classification

To execute the classification, run:

python classification_with_model_prompting.py -m "meta-llama/Llama-3.2-3B-Instruct" -p "zero_4"

Name		Name	Last commit message	Last commit date
Latest commit History 49 Commits
__pycache__		__pycache__
annotated		annotated
corpus_analysis		corpus_analysis
data		data
fig		fig
news_data		news_data
.gitignore		.gitignore
README.md		README.md
check_results.ipynb		check_results.ipynb
classification_results.ipynb		classification_results.ipynb
classification_with_model_prompting.py		classification_with_model_prompting.py
classification_with_model_prompting_auto.py		classification_with_model_prompting_auto.py
data_analysis.ipynb		data_analysis.ipynb
llm_utils.py		llm_utils.py
load_results.py		load_results.py
process_data.py		process_data.py
prompt_optimization.ipynb		prompt_optimization.ipynb
prompts.py		prompts.py
prompts_test.py		prompts_test.py
prompts_test_optimized.py		prompts_test_optimized.py
requirements.txt		requirements.txt
response_evaluation.ipynb		response_evaluation.ipynb
results_analysis copy.ipynb		results_analysis copy.ipynb
results_analysis.ipynb		results_analysis.ipynb
run-all_evaluation.py		run-all_evaluation.py
run-all_fullset.py		run-all_fullset.py
run-all_fullset_copy.py		run-all_fullset_copy.py
run-all_optimized.py		run-all_optimized.py
score.py		score.py
sentiment.py		sentiment.py
submit_large_models.sh		submit_large_models.sh
test.py		test.py
utils.py		utils.py

Provide feedback