View source: R/besceaLoadData.R
besceaLoadData | R Documentation |
Load new data to bescea model for searching
besceaLoadData( data, text_field = text_field, unique_id = unique_id, modelname = NULL, searchname = "my_search", spacy_nlp_model = NULL, ... )
data |
Data frame, each document is a row/observation. |
text_field |
Text field from data, unquoted |
unique_id |
Unique identifier from data, unquoted |
modelname |
Defaults to NULL. If you are loading data to a FastText model built using besceaBuildModel, put the name of model here. The model should be saved as 3 different files in the 'models' folder. |
searchname |
Optional name that appears at the top of the Shiny app |
spacy_nlp_model |
Defaults to NULL. When Python is run, SpaCy will load "en_core_web_sm" unless this argument is present. In that case, SpaCy will look for an nlp model in the location you provide. |
... |
Arguments passed from other functions |
# Build model called "my_model" first besceaBuildModel(data = sneapsters[1:100,], text_field = post_text, unique_id = textid, min_word_count = 1, epochs = 1, modelname = "my_model") # Then load data and run using "my_model" besceaLoadData(data = sneapsters[1:100,], text_field = post_text, unique_id = textid, modelname = "my_model")
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