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https://github.com/trilokida/named-entity-recognition-and-classification

Given a string statement, the aim is to identify the B-Protein entity in the statement.
https://github.com/trilokida/named-entity-recognition-and-classification

bagging-ensemble classification dictvectorizer ensemble-learning machine-learning naive-bayes-classifier named-entity-recognition ner random-forest scikit-learn

Last synced: 4 months ago
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Given a string statement, the aim is to identify the B-Protein entity in the statement.

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# Named-Entity-Recognition-and-Classification

### Named-entity recognition

Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.[wiki](https://en.wikipedia.org/wiki/Named-entity_recognition)