SentimentAnalysis1.3-5 package

Sentiment analysis

Compares two dictionaries

Compare sentiment values to existing response variable

Convert continuous sentiment to direction

Convert continuous sentiment to direction

Count words

Elastic net estimation

Extract words from dictionary

Generates dictionary of decisive terms

Estimation via generalized least squares

Lasso estimation

Ordinary least squares estimation

Loads Harvard-IV dictionary into object

Loads Henry's finance-specific dictionary into object

Loads Loughran-McDonald dictionary into object

Loads uncertainty words from Loughran-McDonald into object

Loads polarity words from qdap package into object

Retrieves IMDb dataset

Estimation method

N-gram tokenizer

Number of words in dictionary

Number of negative words in dictionary

Number of positive words in dictionary

KDE plot of estimated coefficients

Line plot with sentiment scores

Scatterplot with trend line between sentiment and response

Prediction for given dictionary

Default preprocessing of corpus

Output content of sentiment dictionary

Read dictionary from text file

Ridge estimation

Sentiment based on linear model

Ratio of negative words

Ratio of positive words

Ratio of dictionary words

Sentiment score

Sentiment polarity score

Counts word frequencies

SentimentAnalysis: A package for analyzing sentiment of texts

Create new sentiment dictionary based on input

Create a sentiment dictionary of positive and negative words

Create a sentiment dictionary of words linked to a score

Create a sentiment dictionary consisting of a simple wordlist

Spike-and-slab estimation

Output summary information on sentiment dictionary

Default preprocessing of corpus and conversion to document-term matrix

Transforms the input into a Corpus object

Write dictionary to text file