1. DICEM::diceNGrams
    Pre-trained advice concreteness features
    matrix|4916 x 2017
  2. DICEM::phone_offers
    Purchase offers for phone
  3. DICEM::polymodel
    Polynomial pre-trained fit
  4. DICEM::uk2us
    UK to US Conversion dictionary
  5. doc2concrete::adviceModel
    Pre-trained Concreteness Detection Model for Advice
    cv.glmnet
  6. doc2concrete::adviceNgrams
    Pre-trained advice concreteness features
  7. doc2concrete::bootstrap_list
    Concreteness mTurk Word List
  8. doc2concrete::feedback_dat
    Personal Feedback Dataset
  9. doc2concrete::mturk_list
    Concreteness mTurk Word List
  10. doc2concrete::planModel
    Pre-trained Concreteness Detection Model for Plan-Making
    cv.glmnet
  11. doc2concrete::planNgrams
    Pre-trained plan concreteness features
    matrix|5 x 2404
  12. doc2concrete::uk2us
    UK to US Conversion dictionary
  13. politeness::bowl_offers
    Purchase offers for bowl
  14. politeness::feature_table
    Table of Politeness Features
  15. politeness::phone_offers
    #' Positive Emotions List #' #' Positive words. #' #' @format A list of 2006 positively-valenced words #' "positive_list"
  16. politeness::polite_train
    Pre-Trained Politeness
  17. politeness::receptive_model
    A pre-trained model for detecting conversational receptiveness. Estimated with glmnet using annotated data from a previous paper. Primarily for use within the receptiveness() function.
    cv.glmnet
  18. politeness::receptive_names
    This is the list of variables to be extracted for the receptiveness algorithm For internal use only, within the receptiveness() function.
  19. politeness::receptive_polite
    Pre-Trained Receptiveness Data
  20. politeness::receptive_train
    Pre-Trained Receptiveness Data
  21. politeness::uk2us
    UK to US Conversion dictionary