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Identrics NLP Team

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One thought on “Identrics NLP Team

  1. 4
    votes

    The use case Identrics is indeed not a typical NLP task. This team has shown a lot of courage to pick up this use case. You have taken an interesting approach of using Neural coref server and SpaCy. For this use case it was a good starting point.
    While using a Neural coref library is good, it would have been great to also fine tune the model to the specific use case data. Looking at some model performance graphs and understanding how to optimize the NLP algorithm so that it performs the best for this problem are some of the other things the team could have tried. Also, some of the suggested sections of crisp-dm methodology is missed.
    In conclusion, I’ll say that team did a fantastic job in boot strapping available resources in minimal time to get the outcome but missed on some important machine learning optimization steps.
    Keep up the great work and please feel free to reach out to me if you have specific questions.

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