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
asked 1 min ago
SwordsmanSwordsman
2816
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add a comment |
$begingroup$
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
asked 1 min ago
SwordsmanSwordsman
2816
$endgroup$
add a comment |
$begingroup$
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
asked 1 min ago
SwordsmanSwordsman
2816
$endgroup$
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
asked 1 min ago
SwordsmanSwordsman
2816
asked 1 min ago
SwordsmanSwordsman
2816
asked 1 min ago
SwordsmanSwordsman
2816
asked 1 min ago
SwordsmanSwordsman
2816
asked 1 min ago
SwordsmanSwordsman
2816
2816
add a comment |
add a comment |
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