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README.md

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gkg_raw_data_pull.ipynb

gkg_raw_data_pull.ipynb

 
 

gkg_us_location.py

gkg_us_location.py

 
 

ldavis_prepared_5_post_both.html

ldavis_prepared_5_post_both.html

 
 

ldavis_prepared_5_post_dal.html

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ldavis_prepared_5_post_hou.html

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ldavis_prepared_5_pre_both.html

ldavis_prepared_5_pre_both.html

 
 

ldavis_prepared_5_pre_dal.html

ldavis_prepared_5_pre_dal.html

 
 

ldavis_prepared_5_pre_hou.html

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news_data.ipynb

news_data.ipynb

 
 

query_gdelt.py

query_gdelt.py

 
 

topic_model_news_data.ipynb

topic_model_news_data.ipynb

 
 

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Gdelt-climate

Gdelt-climate is a Data processing pipeline in Python for climate events and media perception to those events as part of the SESYNC Graduate Pursuit Project 2.

Usage

Run on Jupyter Notebook.

  • gkg_raw_data_pull: Data scraper and analyzer for Gdelt Knowledge Graph data which provides metadata for each news interested, e.g. URL, themes, locations

  • topic_model_news_data: Data scraper and topic modeling codes for raw news data given news url

More details to add as more progress is made

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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Mining articles from GDELT related to climate change

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