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GitHub / JayeshSuryavanshi / Monitoring-and-Predicting-Social-Unrest-NLP

Social unrest is hypothesized to exhibit patterns, which if detected early can facilitate mitigation efforts. This real world task introduced us to the task of identifying and predicting social unrest based on NLP and ML methods. This task consists of 3 subtasks revolving around information extraction, summarization and event prediction from text.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JayeshSuryavanshi%2FMonitoring-and-Predicting-Social-Unrest-NLP

Stars: 3
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 35.1 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: acled, huggingface-transformers-pipeline, natural-language-generation, natural-language-processing, time-series-analysis

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