United Nations Challenge - #IDETECT

Filter, tag, and extract facts from documents reporting on human displacement.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
K - APP - Heatmap info.ipynb		K - APP - Heatmap info.ipynb
K1 - Scrape training data with Newspaper + PDF library .ipynb		K1 - Scrape training data with Newspaper + PDF library .ipynb
K2 - Scraping all articles .ipynb		K2 - Scraping all articles .ipynb
K3 - Cleaning all data .ipynb		K3 - Cleaning all data .ipynb
K4 - Identify sentences with numbers, units and terms of displacement.ipynb		K4 - Identify sentences with numbers, units and terms of displacement.ipynb
K5 - Word2vec on all data.ipynb		K5 - Word2vec on all data.ipynb
K6 - NLP in action for people info - subset from 5,000 to 6,000.ipynb		K6 - NLP in action for people info - subset from 5,000 to 6,000.ipynb
K7 - Train model to classify by type of displacements.ipynb		K7 - Train model to classify by type of displacements.ipynb
K8 - How many facts per country per month?.ipynb		K8 - How many facts per country per month?.ipynb
README.md		README.md

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