Build NLP model using NER to predict medicine names from medical documents












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I have a directory containing files of medical documents which are in unstructured format. Also I have an excel file where I can find the filenames as well as the medicine names as separate columns that are present inside the files. I have data for around 1000 docs and that will be part of my training set. How do I efficiently build a model to solve this task.
I reckon I have to tag medicine names in the training data to build NER model which I am planning to build using spacy. Any suggestions on the same shall be really helpful.






python nlp named-entity-recognition






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    $begingroup$


    I have a directory containing files of medical documents which are in unstructured format. Also I have an excel file where I can find the filenames as well as the medicine names as separate columns that are present inside the files. I have data for around 1000 docs and that will be part of my training set. How do I efficiently build a model to solve this task.
    I reckon I have to tag medicine names in the training data to build NER model which I am planning to build using spacy. Any suggestions on the same shall be really helpful.






    python nlp named-entity-recognition






    share









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      $begingroup$


      I have a directory containing files of medical documents which are in unstructured format. Also I have an excel file where I can find the filenames as well as the medicine names as separate columns that are present inside the files. I have data for around 1000 docs and that will be part of my training set. How do I efficiently build a model to solve this task.
      I reckon I have to tag medicine names in the training data to build NER model which I am planning to build using spacy. Any suggestions on the same shall be really helpful.






      python nlp named-entity-recognition






      share









      $endgroup$




      I have a directory containing files of medical documents which are in unstructured format. Also I have an excel file where I can find the filenames as well as the medicine names as separate columns that are present inside the files. I have data for around 1000 docs and that will be part of my training set. How do I efficiently build a model to solve this task.
      I reckon I have to tag medicine names in the training data to build NER model which I am planning to build using spacy. Any suggestions on the same shall be really helpful.






      python nlp named-entity-recognition




      python nlp named-entity-recognition





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      asked 1 min ago









      SwordsmanSwordsman

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