DictionaryGI            Dictionary with opinionated words from the
                        Harvard-IV dictionary as used in the General
                        Inquirer software
DictionaryHE            Dictionary with opinionated words from Henry's
                        Financial dictionary
DictionaryLM            Dictionary with opinionated words from
                        Loughran-McDonald Financial dictionary
SentimentDictionary     Create new sentiment dictionary based on input
SentimentDictionaryBinary
                        Create a sentiment dictionary of positive and
                        negative words
SentimentDictionaryWeighted
                        Create a sentiment dictionary of words linked
                        to a score
SentimentDictionaryWordlist
                        Create a sentiment dictionary consisting of a
                        simple wordlist
analyzeSentiment        Sentiment analysis
compareDictionaries     Compares two dictionaries
compareToResponse       Compare sentiment values to existing response
                        variable
convertToBinaryResponse
                        Convert continuous sentiment to direction
convertToDirection      Convert continuous sentiment to direction
countWords              Count words
enetEstimation          Elastic net estimation
extractWords            Extract words from dictionary
generateDictionary      Generates dictionary of decisive terms
glmEstimation           Estimation via generalized least squares
lassoEstimation         Lasso estimation
lmEstimation            Ordinary least squares estimation
loadDictionaryGI        Loads Harvard-IV dictionary into object
loadDictionaryHE        Loads Henry's finance-specific dictionary into
                        object
loadDictionaryLM        Loads Loughran-McDonald dictionary into object
loadDictionaryLM_Uncertainty
                        Loads uncertainty words from Loughran-McDonald
                        into object
loadDictionaryQDAP      Loads polarity words from qdap package into
                        object
loadImdb                Retrieves IMDb dataset
lookupEstimationMethod
                        Estimation method
ngram_tokenize          N-gram tokenizer
numEntries              Number of words in dictionary
numNegativeEntries      Number of negative words in dictionary
numPositiveEntries      Number of positive words in dictionary
plot.SentimentDictionaryWeighted
                        KDE plot of estimated coefficients
plotSentiment           Line plot with sentiment scores
plotSentimentResponse   Scatterplot with trend line between sentiment
                        and response
predict.SentimentDictionaryWeighted
                        Prediction for given dictionary
preprocessCorpus        Default preprocessing of corpus
print.SentimentDictionaryWordlist
                        Output content of sentiment dictionary
read                    Read dictionary from text file
ridgeEstimation         Ridge estimation
ruleLinearModel         Sentiment based on linear model
ruleNegativity          Ratio of negative words
rulePositivity          Ratio of positive words
ruleRatio               Ratio of dictionary words
ruleSentiment           Sentiment score
ruleSentimentPolarity   Sentiment polarity score
ruleWordCount           Counts word frequencies
spikeslabEstimation     Spike-and-slab estimation
summary.SentimentDictionaryWordlist
                        Output summary information on sentiment
                        dictionary
toDocumentTermMatrix    Default preprocessing of corpus and conversion
                        to document-term matrix
transformIntoCorpus     Transforms the input into a Corpus object
write                   Write dictionary to text file
