tamasdinh / disaster-message-classification

Text mining on disaster message dataset with the goal of classifying messages so that emergency services know where to allocate different resources.

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Disaster Response Pipeline Project

Instructions:

  1. Run the following commands in the project's root directory to set up your database and model.

    • To run ETL pipeline that cleans data and stores in database python data/process_data.py data/disaster_messages.csv data/disaster_categories.csv data/DisasterResponse.db
    • To run ML pipeline that trains classifier and saves python models/train_classifier.py data/DisasterResponse.db models/classifier.pkl
  2. Run the following command in the app's directory to run your web app. python run.py

  3. Go to http://0.0.0.0:3001/

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Text mining on disaster message dataset with the goal of classifying messages so that emergency services know where to allocate different resources.


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