Man pages for SentimentAnalysis
Dictionary-Based Sentiment Analysis
| 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 |
