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nlp-dlt's Introduction

Set up ๐Ÿ™‚

  1. Clone the repository
  2. Build a docker image:
    • cd ~/NLP-DLT/nlp
    • docker build -t nlp-engine .
  3. To verify the docker image should be used the command docker images
  4. Create an environmental variables file based on .env.example (~/NLP-DLT/network)
  5. Obtain access keys from AWS E.g.:
    • Update the environment variable AWS_ACCESS_KEY_ID
    • Update the environment variable AWS_SECRET_ACCESS_KEY
    • Update the environment variable AWS_SESSION_TOKEN
    • Update the path of PDF files which contains Roaming Agreements
      • Default place: ~/NLP-DLT/nlp/input
    • Update the path of JSON files
      • Default place: ~/NLP-DLT/nlp/output

How to use ๐Ÿ˜Ž

  1. cd ~/NLP-DLT/network
  2. Start: docker-compose up -d
  3. Stop: docker-compose stop
  4. Down: docker-compose down

Project Documentation

To do ๐Ÿค”

  1. Fix heading detection when sub-articles are analized.
  2. Hardcode of the default template.json file.
  3. Hardcode of list of articles.json file.
  4. Fix the code to correctly determine the organizations variables.
  5. Determine the accuracy of the NLP engine to extract variables and variations.
  6. Complete the documentation of the library.
  7. Perform the analysis one level down to go on the sentence level:
    • There are two branches created: main and sentencelvl
      • To change to the branch main use the command git checkout sentencelvl
  8. Automate accuracy determination.

nlp-dlt's People

Contributors

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Watchers

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