Scenario: Preparing a text sample to be used for learning a model
This scenario applies only to a subscription-based Talend Platform solution with Big data or Talend Data Fabric.
This Job uses tNLPPreprocessing to divide the input text into tokens.
Then, the tokens are converted to the CoNLL format using tNormalize.
You will be able to use this CoNLL file to learn a classification model for extracting
named entities in text data.
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Preparing a text sample by dividing it into tokens. The tokens will be used
for training a classification model. -
Learning a classification model, designing the features and evaluating the
model.You can find an example of how to generate a named
entity recognition model on Talend Help Center (https://help.talend.com). -
Applying the model on the full text to extract named entities using
tNLPPredict.You can find an example of how to extract named
entities using a classification model on Talend Help Center (https://help.talend.com).
You can find more information about natural language processing on
Talend Help Center (https://help.talend.com).