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 |
DictionaryGI | Dictionary with opinionated words from the Harvard-IV... |
DictionaryHE | Dictionary with opinionated words from Henry's Financial... |
DictionaryLM | Dictionary with opinionated words from Loughran-McDonald... |
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 |
plotSentiment | Line plot with sentiment scores |
plot.SentimentDictionaryWeighted | KDE plot of estimated coefficients |
plotSentimentResponse | Scatterplot with trend line between sentiment and response |
predict.SentimentDictionaryWeighted | Prediction for given dictionary |
preprocessCorpus | Default preprocessing of corpus |
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 |
SentimentAnalysis-package | SentimentAnalysis: A package for analyzing sentiment of texts |
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 |
spikeslabEstimation | Spike-and-slab estimation |
summary | Output summary information on sentiment dictionary |
toDocumentTermMatrix | Default preprocessing of corpus and conversion to... |
transformIntoCorpus | Transforms the input into a Corpus object |
write | Write dictionary to text file |
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