Natural Language Processing components
| tCompareColumns | Compares two columns to design useful features for generating a classification model. |
| tNLPModel | Uses an input in CoNLL format and automatically generates token-level features to create a model for classification tasks like Named Entity Recognition (NER). |
| tNLPPredict | Uses a classifier model generated by tNLPModel to predict and label the input text. |
| tNLPPreprocessing | Prepares a text sample and divides it into tokens, which can be words, numbers or punctuation marks. |