predict_polarity_keras: Predict polarity for the given dataset.

In adityamangal410/deepSentimentR: Package to Analyze Sentiment Datasets

Description

Predict polarity for the given dataset and filters using the pre-trained Keras LSTM model.

Arguments

data	the sentiment140 test text for text of the tweet.
user_list	a vector of users for which to filter the dataset
start_date_time	input start_date_time in POSIXct format on which to filter the dataset
end_date_time	input end_date_time in POSIXct format on which to filter the dataset
keyword_list	a list of string keywords on which to filter the dataset
maxlen	Maximum length of a sequence.
max_words	Maximum number of words to consider using word frequency measure.
trained_data	Training dataset.
model_load_path	File path location of the trained model file.

Value

a list object with raw filtered dataframe, predictions dataframe that holds the predicted polarity using the model, confusion_matrix, multiple model performance statistics and a plot comparing the actual and predicted polarity.

Examples

library(deepSentimentR)
predict_polarity_keras()

adityamangal410/deepSentimentR documentation built on June 3, 2019, 6:15 p.m.