Man pages for chriskirkhub/etea
This package enables the classification of unstructured textual data into a structured, segmented, temporal, document frequency matrix for use as input into predictive modelling systems such as neural networks or state-space models.
| classify_etea | classifier-leverage function to classify text into groups of... |
| create_q_matrix | Elaborate a Document Frequency Matrix in either quanteda or... |
| etea_features | Create a list of the Document Frequency Matrix according to... |
