Files in 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.

DESCRIPTION

LICENSE

NAMESPACE

R/classify_etea.R R/create_q_matrix.R R/etea_features.R README.md

data/etea_categories.csv

data/jtr_docs.csv

data/militant_suffragette_extract.csv

data/subjectivity.csv

etea.Rproj

etea_abstract.pdf etea_abstract_v2.pdf man/classify_etea.Rd man/create_q_matrix.Rd man/etea_features.Rd

chriskirkhub/etea documentation built on May 13, 2019, 6:55 p.m.