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Coding Week 9 Meeting

Attendees​

  • Gaurav Mishra
  • Vasudev
  • Ayush Bharadwaj
  • Shreya Singh
  • Kaushlendra Pratap Singh
  • Omar AbdelSamea

Discussions​

  • Clutter Removal Preview was given and discussed.

  • Implementation of the trained NER model was discussed using a CUSTOM training data set.

  • Next target for Final evaluations were discussed:

    1. Training the model using a custom dataset.
    2. Integrating the ALgorithm with FOSSOLOGY.
    3. Documenting everything and revamping it according to the integration.

  • CUSTOM [ORG] list extraction process was discussed.

Week 9 Progress​

  • Clutter removal for the other three cases was implemented.

  • A custom training dataset was created using a list of names of organisations.

  • Spacy "en_core_web_sm" was trained on that custom dataset used.

  • Training was done in a way:

    1- This training was more of an instantaneous one i.e. You train it for google, It will work only for google.

    2- Need to figure out the way to keep the trained model while pushing the code. "nlp.to_disk()" internal property was used for saving the trained model to the local system.

  • More reduction and updation to code was done by removing redundancy and making the code more function-oriented.

  • Wiki has been Updated

Conclusion and Further Plans​

Integration of the algorithm with the FOSSOLOGY